Relevant bibliographies by topics / Wireless Communications, Energy Efficiency, Green Networks

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Wireless Communications, Energy Efficiency, Green Networks'

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Published: 10 March 2023

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Journal articles on the topic "Wireless Communications, Energy Efficiency, Green Networks"

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Fettweis, Gerhard P., Kwang-Cheng Chen, and Rahim Tafazoli. "Green radio: Energy efficiency in wireless networks." Journal of Communications and Networks 12, no. 2 (April 2010): 99–102. http://dx.doi.org/10.1109/jcn.2010.6391365.

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Reddy, G. Chenna Kesava, Dr A. A. Ansari, and Dr S. China Venkateswarlu. "Green Communication in Wireless Power Consumption and Energy Efficient Trade-offs." Revista Gestão Inovação e Tecnologias 11, no. 4 (August 4, 2021): 4082–95. http://dx.doi.org/10.47059/revistageintec.v11i4.2433.

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Energy efficiency is a significant issue in portable wireless networks since the battery life of versatile terminals is restricted. Protection of battery power has been tended to utilizing numerous procedures. Wireless sensor networks (WSNs), framed by various little gadgets fit for detecting, processing, and wireless correspondence are arising as a progressive innovation, with applications in different territories. The novel highlights of wireless sensor networks have carried new difficulties and issues to the field of conveyed and communitarian data preparing. In the light of the importance of reducing operating consumpt and maintaining cellular network profitability, energy efficiency in cell networks has received a crucial consideration from both scholars and the business, despite the fact that these networks are “green communication.” Since the base station is the most important energy buyer in the business, efforts have been undertaken to review the use of the base station and to identify ways to energy efficiency improvements. The trade-offs between energy utilization and throughput, under nearby just as under helpful detecting, are portrayed. The Energy efficient tradeoffs have been arranged dependent on every convention layer and examined its effect in the organization energy efficiency.
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Lorincz, Josip, Antonio Capone, and Jinsong Wu. "Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New Trends." Sensors 19, no. 22 (November 8, 2019): 4864. http://dx.doi.org/10.3390/s19224864.

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Although information and communications technologies (ICTs) have the potential of enabling powerful social, economic and environmental benefits, ICT systems give a non-negligible contribution to world electricity consumption and carbon dioxide (CO2) footprint. This contribution will sustain since the increased demand for user′s connectivity and an explosion of traffic volumes necessitate continuous expansion of current ICTs services and deployment of new infrastructures and technologies which must ensure the expected user experiences and performance. In this paper, analyses of costs for the global annual energy consumption of telecommunication networks, estimation of ICT sector CO2 footprint contribution and predictions of energy consumption of all connected user-related devices and equipment in the period 2011–2030 are presented. Since presented estimations of network energy consumption trends for main communication sectors by 2030 shows that highest contribution to global energy consumption will come from wireless access networks and data centres (DCs), the rest of the paper analyses technologies and concepts which can contribute to the energy-efficiency improvements of these two sectors. More specifically, different paradigms for wireless access networks such as millimetre-wave communications, Long-Term Evolution in unlicensed spectrum, ultra-dense heterogeneous networks, device-to-device communications and massive multiple-input multiple-output communications have been analysed as possible technologies for improvement of wireless networks energy efficiency. Additionally, approaches related to the DC resource management, DCs power management, green DC monitoring and thermal management in DCs have been discussed as promising approaches to improvement of DC power usage efficiency. For each of analysed technologies, future research challenges and open issues have been summarised and discussed. Lastly, an overview of the accepted papers in the Special Issue dedicated to the green, energy-efficient and sustainable networks is presented.
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Yadav, Ramnaresh, Keshav Singh, and Ashwani Kumar. "Optimal Power Allocation for Achieving Secure Green Cognitive Radio Networks." Electronics 11, no. 13 (June 22, 2022): 1952. http://dx.doi.org/10.3390/electronics11131952.

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In cognitive radio networks, wireless nodes adapt to the surrounding radio environment and utilize the spectrum of licensed users. The cognitive radio environment is dynamic, and wireless channels are accessible by both legitimate and illegitimate users. Therefore, maintaining the security of cognitive radio networks is a challenging task, which must be addressed thoroughly. Further, with the recent exponential surge in wireless nodes and associated high data rate requirements, energy consumption is also growing at an unprecedented rate. Hence, energy efficiency becomes an important metric that must be considered in the design of future wireless networks. Accordingly, by considering the great ecological and economic benefits of green wireless networks, this work focus on energy-efficient resource allocation in secure cognitive radio networks. Since physical-layer security is an emerging technique that improves the security of communication devices, in this paper, an ergodic secure energy efficiency problem for a cognitive radio network is formulated with a primary user, a secondary user, and an eavesdropper. As the formulated problem is non-convex, a concave lower bound is applied to transform the original non-convex problem into a convex one. Further, by adopting the fractional programming and dual decomposition techniques, optimal power allocation strategies are obtained with the aim of maximizing the ergodic secure energy efficiency of the secondary user with constraints on the average interference power and average transmit power. Numerical examples are used to demonstrate the effectiveness of the proposed algorithm.
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Oborkhale, L. I., C. C. Nwaogu, and O. A. Amadi. "Achieving energy efficiency for 5G at base stations level." Scientia Africana 20, no. 3 (January 26, 2022): 1–10. http://dx.doi.org/10.4314/sa.v20i3.1.

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As the era of 5th Generation (5G) networks is dawning, several pertinent issues associated with the improvements that have to be achieved in future communications are attracting increasing research attention. This work, considered achieving energy efficiency for 5G at base stations level. Energy efficiency simply means using less energy to perform the same task thereby, eliminating energy waste. The objective of this paper is to examine the ways of deploying energy efficient hardware at the base stations in order to make the base stations more green energy based. Considering the current energy concerns, base stations in emerging wireless networks range from low-energy BSS to high-energy BSS with entirely different constraints in either case. In view of these extremes, this paper examines the major components behind energy-efficient wireless communication network design during the peak and off-peak traffic periods. It was discovered that the Power amplifier consumes up to 59% of the energy at the base stations. Improving a Power amplifier by bringing linearity could improve the efficiency of the BS and hence reduce the energy crunch at the BS level from 59% to 51%.
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Nguyen, Hieu V., Hyeon Min Kim, Gil-Mo Kang, Kha-Hung Nguyen, Van-Phuc Bui, and Oh-Soon Shin. "A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency." Energies 13, no. 16 (August 8, 2020): 4106. http://dx.doi.org/10.3390/en13164106.

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Non-orthogonal multiple access (NOMA) is a promising technology for next-generation wireless networks with emerging demands on low latency, high throughput, and massive connectivity. Unlike orthogonal multiple access, NOMA allows multiple users to share the same radio resources, which significantly improves spectral efficiency (SE). To achieve green wireless communications for numerous networked devices, NOMA helps reduce energy consumption while satisfying rate fairness and quality-of-experience requirements. The goal of this paper is to introduce the innovative approaches for NOMA in terms of the SE and energy efficiency, and discuss emerging technologies involved with NOMA. Further, its challenges and future research directions are highlighted.
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Huang, Tangsen, Xiangdong Yin, and Xiaowu Li. "Energy-efficient and intelligent cooperative spectrum sensing algorithm in cognitive radio networks." International Journal of Distributed Sensor Networks 18, no. 9 (September 2022): 155013292211251. http://dx.doi.org/10.1177/15501329221125119.

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Green communication is the demand of current and future wireless communication. As the next-generation communication network, cognitive radio network also needs to meet the requirements of green communication. Therefore, improving energy efficiency is an inevitable requirement for the development of cognitive radio networks. However, there is a need to compromise sensing performance while improving energy efficiency. To take into account the two important indicators of sensing performance and energy efficiency, a grouping algorithm is proposed in this article, which can effectively improve the energy efficiency while improving the spectrum sensing performance. The algorithm obtains the initial value of the reliability of the nodes through training, and sorts them according to the highest reliability value, then selects an even number of nodes with the highest reliability value, and divides the selected nodes into two groups, and the two groups of nodes take turns in Alternate work. At this time, other nodes not participating in cooperative spectrum sensing are in a silent state, waiting for the instruction of the fusion center. The experimental results show that compared with the traditional algorithm, the proposed algorithm has a great improvement in the two indicators of sensing performance and energy efficiency.
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Gao, Jing, Xin Guan, Shuyue Zhang, and Xiao Meng. "Resource Allocation Optimization Based on Energy Efficiency in Green Cloud Radio Access Network." Wireless Communications and Mobile Computing 2022 (May 11, 2022): 1–18. http://dx.doi.org/10.1155/2022/8932961.

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Compared with traditional cellular networks, cloud wireless access network (C-RAN) can save more energy consumption because it centrally processes the signals in the baseband unit (BBU) pool served by the cloud platform. Aiming at the limited fronthaul capacity of the fronthaul link caused by massive data and the huge energy consumption caused by the explosive growth of mobile traffic, an energy-saving resource management scheme that is powered by a mixture of on-grid and green energy is proposed in this paper. Specifically, a new network energy efficiency (EE) model is constructed. The RRH with hybrid energy to supply power of the model in response to green communication and the model can also realize two functions: information decoding and wireless charging at the same time. The total power consumption including remote radio head (RRH), fronthaul link, BBU pool, and wireless charging equipment of user equipment is considered. Based on network energy efficiency model, in addition to considering the user’s quality of service (QoS), data rate requirements, transmission power of RRHs, and maximum battery capacity constraints, the constraints of fronthaul link capacity constraints also are considered in this paper. In order to solve the proposed optimization problem, a joint strategy of power allocation, resource block (RB) allocation, and power allocation ratio adjustment is proposed in this paper. However, the objective function of energy efficiency optimization problem is nonconvex and cannot be solved directly. Therefore, an equivalent convex feasibility problem is reconstructed, and the optimal solution is obtained by Lagrange dual decomposition method. Simulation results show that the proposed resource allocation scheme can provide higher energy efficiency for the network.
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Ram, Mahendra, Sushil Kumar, Vinod Kumar, Ajay Sikandar, and Rupak Kharel. "Enabling Green Wireless Sensor Networks: Energy Efficient T-MAC Using Markov Chain Based Optimization." Electronics 8, no. 5 (May 13, 2019): 534. http://dx.doi.org/10.3390/electronics8050534.

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Due to the rapidly growing sensor-enabled connected world around us, with the continuously decreasing size of sensors from smaller to tiny, energy efficiency in wireless sensor networks has drawn ample consideration in both academia as well as in industries’ R&D. The literature of energy efficiency in wireless sensor networks (WSNs) is focused on the three layers of wireless communication, namely the physical, Medium Access Control (MAC) and network layers. Physical layer-centric energy efficiency techniques have limited capabilities due to hardware designs and size considerations. Network layer-centric energy efficiency approaches have been constrained, in view of network dynamics and available network infrastructures. However, energy efficiency at the MAC layer requires a traffic cooperative transmission control. In this context, this paper presents a one-dimensional discrete-time Markov chain analytical model of the Timeout Medium Access Control (T-MAC) protocol. Specifically, an analytical model is derived for T-MAC focusing on an analysis of service delay, throughput, energy consumption and power efficiency under unsaturated traffic conditions. The service delay model calculates the average service delay using the adaptive sleep wakeup schedules. The component models include a queuing theory-based throughput analysis model, a cycle probability-based analytical model for computing the probabilities of a successful transmission, collision, and the idle state of a sensor, as well as an energy consumption model for the sensor’s life cycle. A fair performance assessment of the proposed T-MAC analytical model attests to the energy efficiency of the model when compared to that of state-of-the-art techniques, in terms of better power saving, a higher throughput and a lower energy consumption under various traffic loads.
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Anwar, Muhammad, Abdul Abdullah, Ayman Altameem, Kashif Qureshi, Farhan Masud, Muhammad Faheem, Yue Cao, and Rupak Kharel. "Green Communication for Wireless Body Area Networks: Energy Aware Link Efficient Routing Approach." Sensors 18, no. 10 (September 26, 2018): 3237. http://dx.doi.org/10.3390/s18103237.

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Recent technological advancement in wireless communication has led to the invention of wireless body area networks (WBANs), a cutting-edge technology in healthcare applications. WBANs interconnect with intelligent and miniaturized biomedical sensor nodes placed on human body to an unattended monitoring of physiological parameters of the patient. These sensors are equipped with limited resources in terms of computation, storage, and battery power. The data communication in WBANs is a resource hungry process, especially in terms of energy. One of the most significant challenges in this network is to design energy efficient next-hop node selection framework. Therefore, this paper presents a green communication framework focusing on an energy aware link efficient routing approach for WBANs (ELR-W). Firstly, a link efficiency-oriented network model is presented considering beaconing information and network initialization process. Secondly, a path cost calculation model is derived focusing on energy aware link efficiency. A complete operational framework ELR-W is developed considering energy aware next-hop link selection by utilizing the network and path cost model. The comparative performance evaluation attests the energy-oriented benefit of the proposed framework as compared to the state-of-the-art techniques. It reveals a significant enhancement in body area networking in terms of various energy-oriented metrics under medical environments.
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Dissertations / Theses on the topic "Wireless Communications, Energy Efficiency, Green Networks"

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Sun, Peng. "Performance Improvement for Wireless Mesh Networks with Renewable Energy Source." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34967.

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Multi-radio multi-channel wireless mesh networks (WMNs) have been the focus of numerous research efforts during the past few years. These efforts aimed at extending the utilization of technologies based on the IEEE 802.11 standard in large-scale communities and even for city wide networking. However, mesh nodes in these networks are typically limited in their resources (e.g., bandwidth, power and radio interfaces). Such a limitation has led to an unsatisfactory network performance as well as users dissatisfaction. This dissertation addresses three important performance issues related to WMNs, namely, network performance enhancement, network survivability and green communications. To address the first issue, a novel quality of service (QoS) aware joint channel assignment (CA) and routing algorithm is developed. The proposed algorithm employs both dynamic and static CA techniques and corresponding link schedules that maximize the network throughput and minimize the delay and packet loss ratio. Next, the thesis addresses the problem of network survivability and theoretically analyzes the effects of node failure probabilities on the ability of the remaining network nodes to maintain their connectivity. A tight upper bound on the node failure probabilities needed to maintain full network connectivity on the one hand is first developed. On the other hand, a lower bound, at which the system loses connectivity, is also derived. We show that these bounds are dependent only on the nodes' geometric distribution and density. Based on the premise that failure of nodes in a small area may lead to failure of dependent nodes in other areas due to the quick divergence of traffic in these areas, an efficient node failure backup scheme is presented. The scheme relies on the capacity of the surviving network components in order to find new paths that do not overload the neighbours of the failed node which reduces the probability of generating congestion. Finally, the thesis addresses the problem of realizing energy-efficient WMNs that can operate using renewable energy sources. In these systems, batteries are often used to store and regulate the use of the supplied green energy to transmit the received data at each network router in order to overcome the problem of supply fluctuating of various energy sources. To realize these networks, the behaviour of the residual energy of the battery at a heavily loaded green wireless mesh node with a general traffic arrival and energy charging functions is first analyzed. Based on obtained theoretical results, both an online and an offline QoS aware packet scheduling schemes are proposed to minimize the probability of depleting the battery. Each of the aforementioned contributions is supported with various experimental evaluations to demonstrate the achieved performance enhancements.
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Kailas, Aravind. "Toward perpetual wireless networks: opportunistic large arrays with transmission thresholds and energy harvesting." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34720.

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Solving the key issue of sustainability of battery-powered sensors continues to attract significant research attention. The prevailing theme of this research is to address this concern using energy-efficient protocols based on a form of simple cooperative transmission (CT) called the opportunistic large arrays (OLAs), and intelligent exploitation of energy harvesting and hybrid energy storage systems (HESSs). The two key contributions of this research, namely, OLA with transmission threshold (OLA-T) and alternating OLA-T (A-OLA-T), offer an signal-to-noise ratio (SNR) advantage (i.e., benefits of diversity and array (power) gains) in a multi-path fading environment, thereby reducing transmit powers or extending range. Because these protocols do not address nodes individually, the network overhead remains constant for high density networks or nodes with mobility. During broadcasting across energy-constrained networks, while OLA-T saves energy by limiting node participation within a single broadcast, A-OLA-T optimizes over multiple broadcasts and drains the the nodes in an equitable fashion. Another important contribution of this research is the design and analysis of a novel routing metric called communications using HESS (CHESS), which extends the rechargeable battery (RB)-life by relaying exclusively with supercapacitor (SC) energy, and is asymptotically optimal with respect to the number of nodes in the network.
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Mowla, Md Munjure. "Next generation wireless communication networks: Energy and quality of service considerations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2018. https://ro.ecu.edu.au/theses/2158.

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The rapid growth in global mobile phone users has resulted in an ever-increasing demand for bandwidth and enhanced quality-of-service (QoS). Several consortia comprising major international mobile operators, infrastructure manufacturers, and academic institutions are working to develop the next generation wireless communication systems fifth generation (5G) - to support high data rates and increased QoS. 5G systems are also expected to represent a greener alternative for communication systems, which is important because power consumption from the information and communication technology (ICT) sector is forecast to increase significantly by 2030. The deployment of ultra-dense heterogeneous small cell networks (SCNs) is expected to play a major role in meeting the explosive growth of user traffic demand in 5G wireless communication systems. However, while the concept of small cells in heterogeneous networks (HetNets) largely addresses the bandwidth scarcity problem, unless otherwise carefully managed, a large number of uncoordinated and lightly loaded SCNs will significantly increase the access network power consumption, contrary to the green communication target of 5G systems. In addition, to cater for the huge volumes of traffic, the backhaul network power consumption will also increase. This thesis addresses the research challenges facing 5G systems in regard to energy efficiency and QoS. The thesis examines ways to reduce power consumption in access networks, how to design green backhauling solutions, how to develop synergy between wired and wireless backhauling options, and how to increase energy efficiency in a weather-dependent backhaul network without hindering network QoS. Different system models and solution techniques are investigated in order to successfully minimize overall power consumption in 5G HetNets while maintaining network QoS. The thesis contributes as follows: first, an energy-efficient resource management system is introduced to minimize access network power consumption; second, two green backhauling solutions, one for wired optical backhaul and the other for wireless millimeter wave (mmWave) backhaul, are presented; third, a synergy is developed between two energy-efficient backhauling solutions to reduce power consumption; fourth, the impacts of SCN topology and mmWave spectrum are presented; and finally, a hybrid free-space optics (FSO)/mmWave channel model is introduced to minimize power consumption for weather-dependent channels. Each phase of the research listed above also investigates the network QoS, i.e., average delay and jitter for 5G HetNets. The research presented in this thesis therefore contributes new knowledge in energy efficiency and QoS for next generation wireless communication networks and makes important contributions to this field by investigating different system models and proposing solutions to significant issues.
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Ahmed, Maha Shihab. "Improving energy efficiency and quality of service in an integrated wireless-optical broadband access network." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1737.

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Exponential growth in the volume of wireless data, boosted by the growing popularity of mobile devices such as smart phones and tablets, is forcing telecommunication industries to rethink network design, and focus on developing high capacity mobile broadband networks. Accordingly, researchers have undertaken developmental work for an integrated wireless-optical broadband access network (WOBAN). Passive optical networks (PONs) and fourth generation (4G) wireless networks are two major candidate technologies for the WOBAN. PON is a wired access technology, well-known for its high capacity, whereas 4G is a wireless broadband access technology, popular for its ease of deployment and ability to offer mobility. Integration of PON and 4G technologies, as a wireless-optical broadband access network, offers advantages such as extension of networks in rural areas, support for mobile broadband services, and rapid deployment of broadband networks. However, these two technologies have different design architectures for handling broadband services which require Quality of Service (QoS), for example, 4G networks use traffic classification for supporting different QoS demands whereas PON does not differentiate between traffic types. This integrated network must also be energy efficient, as a green broadband access network, without hindering QoS. While these technologies both use sleep mode, they differ in their power saving mechanisms. This thesis first addresses a QoS solution for the incompatibility between these technologies. Service class mapping is proposed in Chapter 3 for the integrated WOBAN, based on the M/G/1 queuing model supported by an innovative priority scheduler. Once class mapping is deployed, a power saving mechanism can be devised by exploiting traffic differentiation. Specifically, a class-based strategy is proposed which helps optimise the sleep period for the terminal units of the optical network, without compromising QoS. Since the optical network involves control and terminal nodes, both of which consume power, this thesis proposes an energy efficient mechanism that involves both components. In contrast, other published strategies (Chapter 2) have only considered the terminal units. Chapter 4 presents the mechanism for enabling global sleep (control and terminal nodes) and local sleep (terminal nodes), based on the available traffic's class structure. This mechanism enables sleep for different components within the bandwidth allocation by adapting the switching between predefined polling cycle lengths. As the WOBAN is comprised of both wireless and optical parts, a dynamic resource management mechanism is needed which responds to changing daily traffic patterns across a green integrated network. Consequently, Chapter 5 proposes a mechanism which dynamically adapts the polling cycles, of the optical and wireless parts of the network, to the changing traffic volume and class composition. Tailored sleep durations for the components of the WOBAN are facilitated within the resource management regime, as these components differ in their ability to function efficiently if management of the sleep periods is not responsive to the changing traffic volumes and class composition. This dissertation creates new knowledge by seamlessly integrating the two parts of WOBAN and introducing differentiated, class-based sleep for the components of the hybrid network to help realise a green WOBAN.
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Xiong, Cong. "Energy-efficient design in wireless communications networks." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52217.

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The widespread application of wireless services and the requirements of ubiquitous access have recently triggered rapidly booming energy consumption in wireless communications networks. Such escalation of energy consumption in wireless networks causes high operational expenditure from electricity bills for operators, unsatisfactory user experience due to limited battery capacity of wireless devices, and a large amount of greenhouse gas emission. Green radio (GR), which emphasizes both energy efficiency (EE) and spectral efficiency (SE), has been proposed as an effective solution and is becoming the mainstream for future wireless network design. Unfortunately, EE and SE do not always coincide and may even sometimes conflict. In this dissertation, we focus on energy-efficient transmission and resource allocation techniques for orthogonal frequency division multiple access (OFDMA) networks and the joint energy-efficient design of OFDMA and other promising wireless communications techniques, such as cognitive radio (CR) and two-way relay. Firstly, we investigate the principles of energy-efficient design for pure OFDMA networks. As the first step, we study the fundamental interrelationship between EE and SE in downlink OFDMA networks and analyze the impacts of channel gain and circuit power on the EE-SE relationship. We establish a general EE-SE optimization framework, where the overall EE, SE and per-user quality-of-service (QoS) are all considered. Under this framework, we find that EE is quasiconcave in SE and decreases with SE when SE is large enough. These findings are very helpful guidelines for designing energy- and spectral-efficient OFDMA. To facilitate the application of energy-efficient resource allocation, we then investigate the energy-efficient resource allocation in both downlink and uplink OFDMA networks. For the downlink transmission, the generalized EE is maximized while for the uplink case the minimum individual EE is maximized, both under prescribed per-user minimum data rate requirements. For both transmission scenarios, we first provide the optimal solution and then develop an computationally efficient suboptimal approach by exploring the inherent structure and property of the energy-efficient design. Then we study energy-efficient design in downlink OFDMA networks with effective capacity-based delay provisioning for delay-sensitive traffic. By integrating information theory with the concept of effective capacity, we formulate and solve an EE optimization problem with statistical delay provisioning. We also analyze the tradeoff between EE and delay, the relationship between spectral-efficient and energy-efficient designs, and the impact of system parameters, including circuit power and delay exponents, on the overall performance. Secondly, we consider joint energy-efficient design of OFDMA and CR and two-way relay, respectively, to further enhance the EE and SE of wireless networks. We study energy-efficient opportunistic spectrum access strategies for an OFDMA-based CR network with multiple secondary users (SUs). Both worst EE and average EE of the SUs are considered and optimized subject to constraints including maximum transmit power and maximum interference to primary user (PU) system. For both cases, we first find the optimal solution and then propose a low-complexity suboptimal alternative. The results show that the energy-efficient CR strategies significantly boost EE compared with the conventional spectral-efficient CR ones while the low-complexity suboptimal approaches can well balance the performance and complexity. Then we study energy-efficient resource allocation for OFDMA-based two-way relay, which aims at maximizing the aggregated EE utility while provisioning proportional fairness in EE among different terminal pairs. Different from most exist energy-efficient design, we consider a new circuit power model, where the dynamic circuit power is proportional to the number of active subcarrier. For low-complexity solution, we propose an EE-oriented sequential subchannel assignment policy and discover the sufficient condition for early termination of the sequential subchannel assignment without losing the EE optimality. It is found that the energy-efficient transmission does not necessarily make all the subcarriers active, which is another useful principle for practical energy-efficient system design.
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Barceló, Lladó Joan Enric. "Communications in Wireless Sensor Networks: Compression, Energy Efficiency and Secrecy." Doctoral thesis, Universitat Autònoma de Barcelona, 2012. http://hdl.handle.net/10803/97359.

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Les xarxes de sensors sense fils (WSNs) han esdevingut un dels sistemes de comunicació amb més projecció d'aquesta dècada. Abasten una àmplia varietat d’aplicacions tals com la monitorització del medi ambient, la predicció de desastres naturals, en medicina, en transport, posicionament en interiors, i tasques militars. Els nodes que composen la xarxa, són típicament de baix cost, cosa que atorga una sèrie de limitacions en termes d’energia, velocitat de càlcul i d’ample de banda. Amb els avenços de les comunicacions sense fils i la creixent demanda de noves i més complexes aplicacions, les WSNs s’han d’optimitzar per tal de minimitzar aquestes limitacions. Aquesta tesi proposa un conjunt de tècniques que proporcionen a una WSN les següents característiques: 1. Implementació distribuïda sense necessitat de senyalització entre nodes sensors. 2. Comunicacions energèticament eficients. 3. Poca complexitat als nodes sensors. 4. Empra pocs recursos (temps, ample de banda, etc.) 5. Presenta un error quadràtic mig baix en reconstrucció al receptor. 6. Comunicacions secretes a capa física. Primer, s’estudia la transmissió seqüencial de mostreig reduït. Aquesta tècnica permet la disminució del nombre de transmissions i, per tant, reduir la despesa energètica associada a la comunicació a la xarxa. En particular, s’estudia el rendiment dels codificadors determinístics, probabilístics i condicionals de mostreig reduït per senyals autoregressius. S’obtenen expressions tancades de l’error quadràtic mig pel cas de mostreig reduït determinístic i probabilístic, mentre que pel cas condicional es deriven aproximacions ajustades. A continuació, s’analitza la compressió de la informació per WSNs grans. Pel cas on els paràmetres de correlació del senyal són desconeguts a priori, es proposen dos estimadors millorats: i) un per la predicció emprant el filtre de Wiener i ii) un per l’error quadràtic mig obtingut. Ambdós estimadors s’empren pels dos passos claus de l’algorisme de codificació distribuïda de canal. Aquests estimadors milloren notablement el rendiment de l’algorisme en comparació amb els estimadors de mostres clàssics, especialment quan la dimensió del vector d’observacions és comparable en magnitud amb el nombre de mostres usades a la fase d’entrenament de l’algorisme. Posteriorment, es proposa un esquema de comunicació distribuïda i energèticament eficient anomenat Amplify-and-Forward Compressed Sensing. Aquest esquema es basa en la tècnica de sensat comprimit i aprofita la correlació existent al senyal rebut per tal de reduir tant el nombre de recursos emprats com les despeses energètiques del sistema. Específicament, el sistema es dissenya seguint una funció de cost que controla el compromís existent entre error quadràtic i consum energètic de la xarxa. Per aconseguir aquest disseny, es deriva un model simple que aproxima el rendiment de l’esquema proposat en termes d’error quadràtic mig. A més, es contribueix a la teoria de sensat comprimit amb una nova i més ajustada relació entre el mínim nombre de mesures necessàries donades unes determinades propietats del senyal. Finalment, s’estudia l’esquema proposat Amplify-and-Forward Compressed Sensing des d’un punt de vista de secretisme a capa física. Es demostra que aquest esquema assoleix secretisme perfecte sota la presència d’un o d’un grup reduït d’espies, mentre que per un nombre més gran, és possible deteriorar notablement les seves capacitats d’espionatge gràcies a una tècnica proposta especialment dissenyada per introduir un extra d’incertesa solament a l’estimació dels espies.
Wireless Sensor Networks (WSNs) have emerged as one of the most promising wireless communication systems in the last decade. They can be used in a wide variety of applications such as environmental monitoring, natural disaster prediction, healthcare, transportation, indoor positioning, and military tasks. The cost and the complexity of the nodes within a WSN are typically low, which results in constraints such as energy limitation, low computational speed, and reduced communication bandwidth. With the advances in wireless communications and the growing demand of new and more complex applications, WSNs must be optimized in order to overcome their intrinsic limitations in terms of complexity and power. In this dissertation, and according to these constraints, we propose a set of techniques that provide to a WSN the following interesting features: 1. Distributed operation without the need of signaling among sensing nodes. 2. Energy-efficient communications. 3. Low complexity at the sensing nodes. 4. Low resource (i.e., bandwidth, time, etc.) utilization. 5. Low distortion level at the receiver. 6. Secret communications at the physical layer. First, we study the zero-delay downsampling transmission. This technique allows the system to reduce the number of transmissions and hence decrease the total energy spent. In particular, we study the performance of deterministic, probabilistic and conditional downsampling encoding-decoding pairs for the case of the autoregressive signal model. We obtain closed form expressions for the quadratic error of the deterministic and probabilistic encoder-decoders, while accurate approximations are derived for the quadratic error of the conditional downsampling schemes. Second, we analyze data compression applied to large WSNs. For the realistic case where the correlation parameters are not known a priori, we obtain two enhanced correlation estimators: i) one for the linear Wiener filter vector and ii) one for the achieved mean square error. Both estimators are employed in the two key steps of the distributed source coding algorithm. These estimators notably improve the performance of the algorithm in comparison to the application of classical sample estimators, specially when the dimension of the observation vector is comparable in magnitude to the number of samples used in the training phase. Then, we propose a distributed and energy-efficient communication scheme named Amplify-and-Forward Compressed Sensing. This scheme is based on compressed sensing and exploits the correlation present in the signal in order to reduce both the resource utilization and the energy consumption. More specifically, the system is designed according to a cost function that controls the trade-off between the quadratic error in the reconstruction and the energy consumption of the network. In order to aid the system design, a simple model that accurately approximates the performance of the proposed scheme in terms of the quadratic error has been derived. Furthermore, we contribute to the compressed sensing theory with a tighter relationship between the minimum number of measurements that are required for a given network dimension and the sparsity level of the transmitted signal. Finally, the proposed Amplify-and-Forward Compressed Sensing scheme is also studied in terms of secrecy and wiretap distortion at the physical layer. It is shown that the proposed scheme is perfectly secret in the presence of one or even a small group of eavesdroppers whereas for a larger eavesdropping set, it is still possible to notably deteriorate its espionage capabilities thanks to a proposed technique specifically designed to introduce extra uncertainty only in the channel estimation of the eavesdroppers.
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Tombaz, Sibel. "Towards Green Wireless Access Networks : Main Tradeoffs, Deployment Strategies and Measurement Methodologies." Licentiate thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104328.

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Wireless access networks today consume 0.5 percent of the global energy. Rapidly growing demand for capacity will further increase the energy consumption. Thus, improving energy efficiency has a great importance not only for environmental awareness but also to lower the operational cost of network operators. However, current networks which are optimized based on non-energy related objectives introduce challenges towards green wireless access networks. In this thesis we investigate the solutions at the deployment level and handle energy efficiency assessment issues in wireless access networks. The precise characterization of the power consumption of the whole network has a crucial importance in order to obtain consistent conclusions from any proposed solution at the network level. For this purpose, we propose a novel power consumption model  considering  the impact of backhaul for two established technologies, i.e., fiber and microwave, which is often ignored in the literature. We show that there is a tradeoff between the power saved by using low power base stations and the excess power that has to be spent for backhauling their traffic which therefore needs to carefully be included into energy efficiency analysis. Furthermore, among the solutions that are analyzed, fiber-based backhaul solution is identified to outperform microwave regardless of the considered topology. The proposed model is then used to gain a general insight regarding the important design parameters and their possible impact on energy- and cost oriented network design. To this end, we present a  high-level framework to see the main tradeoffs between energy, infrastructure cost, spectrum and show that future high-capacity systems are increasingly limited by infrastructure and energy costs where spectrum has a strong positive impact on both. We then investigate different network deployment strategies to improve the energy efficiency where we focus on the impact of various base station types, cell size, power consumption parameters and the capacity demand. We propose a refined power consumption model where the parameters are determined in accordance with cell size. We show that network densification can only be justified when capacity expansion is anticipated and over-provisioning of the network is not plausible for greener network. The improvement through heterogeneous networks is indicated to be highly related to the traffic demand where up to 30% improvement is feasible for high area throughput targets. Furthermore, we consider the problem of energy efficiency assessment at the network level in order to allow operators to know their current status and quantify the potential energy savings of different solutions to establish future strategies. We propose elaborate metric forms that can characterize the efficiency and a methodology that indicate how to perform a reliable and accurate measurement considering the complexity of wireless networks. We show the weakness of the current metrics reporting the "effectiveness" and how these might indicate disputable improvement directions unless they are properly revised. This illustrates the need for a standardized network level energy efficiency evaluation methodology towards green wireless access.

QC 20121109


Energy-efficient wireless networking (eWIN)
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Miao, Guowang. "Cross-layer optimization for spectral and energy efficiency." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31807.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.
Committee Chair: Li, Geoffrey Ye; Committee Member: Ma, Xiaoli; Committee Member: Stuber, Gordon; Committee Member: Wardi, Yorai; Committee Member: Yu, Xingxing. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Zhang, Hong. "Energy-efficient strategies with base station power management for green wireless networks." IEEE Publishing, 2013. http://hdl.handle.net/1993/31307.

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In this thesis, our objective is to improve the energy efficiency and load balance for wireless networks. We first study the relationships between the base station (BS) on/off operation and traffic distribution. A cooperative power saving method called clustering BS-off (CBSO) scheme is proposed. Instead of adopting a unified and consistent BS-off scheme in the whole network, the proposed centralized and distributed CBSO schemes can adaptively group BSs in several clusters based on the traffic fluctuations with space and time. Second, to further improve the network load balance and energy efficiency in distributed manner, we propose a power efficient self-organized virtual small networking (VSN) protocol. A heuristic firefly algorithm is applied to arrange the BSs' operation in small groups based on the traffic level. By jointly considering the load balance, the effectiveness of the proposed algorithm is demonstrated based on the average and min-max traffic levels of BSs' groups. Finally, the importance of detailed BS operation between active and sleep modes is considered. The operating procedure of femtocell base station, i.e., HeNB, is modeled as an MAP/PH/1/k queueing system. Such queueing analysis particularly focuses on the HeNB vacation process with user priorities. The HeNB's power on/off scheme is modeled as alternative service and vacation periods. The hybrid access is regarded as high and low priority users in the queuing system. We further propose the adaptive service rate and vacation length (ASV) method, so that the HeNB can work in a more energy-efficient way while satisfying QoS requirements such as blocking probability and users waiting time. Simulation results show the effectiveness of the proposed strategies and the overall network energy efficiency can be improved significantly.
October 2016
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Tiruchirappalli, Narayana Kumar Venkataramani. "A Game Theoretical Approach to Green Communications in Seamless Internet of Things." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1576032496171712.

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Books on the topic "Wireless Communications, Energy Efficiency, Green Networks"

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Energy optimization and scavenging techniques for mobile devices and networks. Boca Raton, FL: CRC Press, 2012.

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Suraweera, Himal A., Jing Yang, Alessio Zappone, and John Thompson, eds. Green Communications for Energy-Efficient Wireless Systems and Networks. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbte091e.

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Thompson, John S., Jing Yang, Himal A. Suraweera, and Alessio Zappone. Green Communications for Energy-Efficient Wireless Systems and Networks. Institution of Engineering & Technology, 2020.

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Zhang, Xi, F. Richard Yu, and Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.

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Zhang, Xi, F. Richard Yu, and Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.

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Zhang, Xi, F. Richard Yu, and Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.

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Zhang, Xi, F. Richard Yu, and Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2016.

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Zhang, Xi, F. Richard Yu, and Victor C. M. Leung. Green Communications and Networking. Taylor & Francis Group, 2019.

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Yu, F. Richard, Victor C. M. Leung, and X. I. Zhang. Green Communications and Networking. Taylor & Francis Group, 2012.

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Green Communications and Networking. CRC Press, 2012.

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Book chapters on the topic "Wireless Communications, Energy Efficiency, Green Networks"

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Ge, Xiaohu, and Wuxiong Zhang. "Energy Efficiency of 5G Wireless Communications." In 5G Green Mobile Communication Networks, 29–101. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_2.

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Di Renzo, Marco. "Energy-Efficiency Metrics and Performance Trade-Offs of GREEN Wireless Networks." In Green Communications, 43–54. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118759257.ch3.

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Ge, Xiaohu, and Wuxiong Zhang. "Energy Efficiency and Collaborative Optimization Theory of 5G Heterogeneous Wireless Multi Networks." In 5G Green Mobile Communication Networks, 287–325. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_6.

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Bernardo, Vitor, Torsten Braun, Marilia Curado, Markus Fiedler, David Hock, Theus Hossmann, Karin Anna Hummel, et al. "Green Wireless-Energy Efficiency in Wireless Networks." In Large-Scale Distributed Systems and Energy Efficiency, 81–130. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781118981122.ch4.

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O'Farrell, Timothy, and Simon Fletcher. "Green Communication Concepts, Energy Metrics and Throughput Efficiency for Wireless Systems." In Green Communications, 19–42. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118759257.ch2.

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Ge, Xiaohu, and Wuxiong Zhang. "Energy Efficiency of 5G Multimedia Communications." In 5G Green Mobile Communication Networks, 185–233. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6252-1_4.

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Singh, Arshpreet, and Yaman Parashar. "Green Energy Efficient Wired and Wireless Charging Techniques for IoT Enabled Healthcare Systems." In Green Communication Technologies for Future Networks, 253–75. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003264477-14.

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Mehta, Neetu, and Arvind Kumar. "Enhanced Energy Efficiency in Wireless Sensor Networks." In Lecture Notes on Data Engineering and Communications Technologies, 255–69. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9113-3_20.

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Buzzi, Stefano, H. Vincent Poor, and Daniela Saturnino. "A Stochastic Non-Cooperative Game for Energy Efficiency in Wireless Data Networks." In Wireless Communications 2007 CNIT Thyrrenian Symposium, 135–50. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-73825-3_11.

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Sangare, Fahira, and Zhu Han. "RF Energy Harvesting Networks: Existing Techniques and Hardware Technology." In Wireless Information and Power Transfer: A New Paradigm for Green Communications, 189–239. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56669-6_7.

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Conference papers on the topic "Wireless Communications, Energy Efficiency, Green Networks"

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Bathula, Balagangadhar G., and Jaafar M. H. Elmirghani. "Green networks: Energy efficient design for optical networks." In 2009 IFIP International Conference on Wireless and Optical Communications Networks (WOCN). IEEE, 2009. http://dx.doi.org/10.1109/wocn.2009.5010573.

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Sharon, C. Carin, N. Nirmal Singh, and S. Thilagavathi. "Comprehensive information based BSs operation for energy efficiency in green cellular networks." In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2017. http://dx.doi.org/10.1109/wispnet.2017.8299963.

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Jahid, Abu, Abdullah Bin Shams, and Md Farhad Hossain. "Energy efficiency of JT CoMP based green powered LTE-A cellular networks." In 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2017. http://dx.doi.org/10.1109/wispnet.2017.8300060.

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Chen, Xi, Hailun Xia, Zhimin Zeng, Shie Wu, WenQi Zuo, and Yao Lu. "Energy-efficient heterogeneous networks for green communications by inter-layer interference coordination." In 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, 2014. http://dx.doi.org/10.1109/wpmc.2014.7014793.

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Jingqing Mei, Hong Ji, and Yi Li. "Energy efficient Layered Broadcast/Multicast mechanism in Green 4G wireless networks." In IEEE INFOCOM 2011 - IEEE Conference on Computer Communications Workshops. IEEE, 2011. http://dx.doi.org/10.1109/infcomw.2011.5928826.

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Fernandas, Y. Edwin, and M. S. Vasanthi. "Energy efficient mechanism for Green computing in wireless storage area networks." In 2015 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2015. http://dx.doi.org/10.1109/iccsp.2015.7322721.

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Rafique, Zimran, and Boon-Chong Seet. "Energy efficient wavelet based OFDM for V-BLAST MIMO Wireless Sensor Networks." In 2011 IEEE Online Conference on Green Communications (GreenCom). IEEE, 2011. http://dx.doi.org/10.1109/greencom.2011.6082500.

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Raavi, Shalini, Marilet De Andrade, Riccardo Fiandra, and Massimo Tornatore. "Energy-efficient design and equipment placement for Wireless-Optical Broadband Access Networks." In 2012 IEEE Online Conference on Green Communications (GreenCom). IEEE, 2012. http://dx.doi.org/10.1109/greencom.2012.6519607.

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Barbato, Antimo, Marica Barrano, Antonio Capone, and Nicolo Figiani. "Resource oriented and energy efficient routing protocol for IPv6 wireless sensor networks." In 2013 IEEE Online Conference on Green Communications (OnlineGreencomm). IEEE, 2013. http://dx.doi.org/10.1109/onlinegreencom.2013.6731046.

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Daghistani, Anas, and Basem Shihada. "Green-Frag: Energy-efficient frame fragmentation scheme for wireless sensor networks." In 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, 2013. http://dx.doi.org/10.1109/wimob.2013.6673399.

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