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Статті в журналах з теми "Energy harvesting relays"
Ho-Van, Khuong, and Thiem Do-Dac. "Security Enhancement for Energy Harvesting Cognitive Networks with Relay Selection." Wireless Communications and Mobile Computing 2020 (September 29, 2020): 1–13. http://dx.doi.org/10.1155/2020/8867148.
Повний текст джерелаPan, Huifang, and Qi Zhu. "Energy-Efficient Power Allocation in Non-Linear Energy Harvesting Multiple Relay Systems." Algorithms 14, no. 5 (May 17, 2021): 155. http://dx.doi.org/10.3390/a14050155.
Повний текст джерелаPress, Rifqah, and Vipin Balyan. "Outage probability for a multiuser NOMA-based network using energy harvesting relays." Nonlinear Engineering 11, no. 1 (January 1, 2022): 672–79. http://dx.doi.org/10.1515/nleng-2022-0240.
Повний текст джерелаHo-Van, Khuong, and Thiem Do-Dac. "Relay Selection for Security Improvement in Cognitive Radio Networks with Energy Harvesting." Wireless Communications and Mobile Computing 2021 (June 19, 2021): 1–16. http://dx.doi.org/10.1155/2021/9921782.
Повний текст джерелаLiu, Kang, Qi Zhu, and Ying Wang. "Outage Analysis and Power Allocation Optimization for Multiple Energy-Harvesting Relay System Using SWIPT." Mobile Information Systems 2018 (September 13, 2018): 1–11. http://dx.doi.org/10.1155/2018/7102427.
Повний текст джерелаAndrawes, Admoon, Rosdiadee Nordin, and Mahamod Ismail. "Wireless Energy Harvesting with Cooperative Relaying under the Best Relay Selection Scheme." Energies 12, no. 5 (March 7, 2019): 892. http://dx.doi.org/10.3390/en12050892.
Повний текст джерелаLiu, Kuang-Hao, and Te-Lin Kung. "Performance Improvement for RF Energy-Harvesting Relays via Relay Selection." IEEE Transactions on Vehicular Technology 66, no. 9 (September 2017): 8482–94. http://dx.doi.org/10.1109/tvt.2017.2692804.
Повний текст джерелаMessadi, Oussama, Aduwati Sali, Vahid Khodamoradi, Asem A. Salah, Gaofeng Pan, Shaiful J. Hashim, and Nor K. Noordin. "Optimal Relay Selection Scheme with Multiantenna Power Beacon for Wireless-Powered Cooperation Communication Networks." Sensors 21, no. 1 (December 29, 2020): 147. http://dx.doi.org/10.3390/s21010147.
Повний текст джерелаLin, Ciao-Han, and Kuang-Hao Liu. "Relay Selection for Energy-Harvesting Relays With Finite Data Buffer and Energy Storage." IEEE Internet of Things Journal 8, no. 14 (July 15, 2021): 11249–59. http://dx.doi.org/10.1109/jiot.2021.3053290.
Повний текст джерелаVan Nguyen, Minh-Sang, Dinh-Thuan Do, and Miroslav Voznak. "Improving Performance of Far Users in Cognitive Radio: Exploiting NOMA and Wireless Power Transfer." Energies 12, no. 11 (June 10, 2019): 2206. http://dx.doi.org/10.3390/en12112206.
Повний текст джерелаДисертації з теми "Energy harvesting relays"
Elmorshedy, Lina. "RF energy harvesting in a decode-and-forward wireless relay network." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/57607.
Повний текст джерелаApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
Arab, Loodaricheh Roya. "Resource allocation in wireless systems with relay-based cooperation and energy harvesting." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/55917.
Повний текст джерелаApplied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
Li, Ziyi. "Wireless-Powered Communication with Energy Accumulation." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16123.
Повний текст джерелаNguyen, K. G. (Kien-Giang). "Energy-efficient transmission strategies for multiantenna systems." Doctoral thesis, Oulun yliopisto, 2019. http://urn.fi/urn:isbn:9789526222677.
Повний текст джерелаTiivistelmä Langattomat verkot ovat kehittyneet nopeasti räjähdysmäisesti kasvavan dataliikenteen mahdollistamiseksi, minkä seurauksena energiankulutus on kasvanut kestävän kehityksen rajat ylittävällä tavalla. Siksi energiatehokkuudesta (EE, energy efficiency) on tullut uusien langattomien verkkojen keskeinen suunnittelukriteeri vastauksena kasvavaan huoleen kasvihuonepäästöistä ja kestävästä talouskasvusta. Väitöskirjassa tutkitaan moniantennisten langattomien järjestelmien energiatehokkaita tiedonsiirtostrategioita. Tavoitteena on kehittää lineaarisia keilanmuodostustekniikoita, jotka maksimoivat energiatehokkuuden mitattuna bitteinä joulea kohden, keskittymällä kolmeen kiinnostavaan vaihtoehtoon, joita ovat koordinoitu monisolujärjestelmän lähetys laskevalla siirtotiellä, pilvipohjainen radioliityntäverkko (C-RAN, cloud radio access network), jossa laskentayksikön ja varsinaisen radiolähettimen välinen yhteys (fronthaul) on rahoitettu, ja usean parin relejärjestelmiin, joissa releet toimivat paristoilla. Työn pääpaino on alioptimaalisissa, mutta käytännöllisesti tehokkaissa optimointimenetelmissä. Pääpaino on alioptimaalisissa mutta tehokkaissa optimointitavoissa, jotka ovat kiinnostavia käytännön toteutuksen näkökulmasta. Ensiksi tarkastellaan tasapuolisen energiatehokkuuden saavuttamista monisoluisessa laskevan siirtotien moni-tulo yksi-lähtö (MISO, multiple-input single-output) -järjestelmässä. Koordinoitu keilanmuodostus on suunniteltu erityisesti maksimoimaan energiatehokkuuden minimitaso kaikilla tukiasemilla. Tarkemmin sanottuna pyritään maksimoimaan huonoin energiatehokkuus solmujen välillä, kun käytetään yhteistoiminnallista keilanmuodostusta. Muodostetun ongelman ratkaisemiseksi ehdotetaan edistyksellisiä iteratiivisia menetelmiä käyttämällä sekä keskitettyjä että hajautettuja ratkaisuja. Laskevan siirtosuunnan fronthaul-rajoitetussa C-RAN-järjestelmässä selvitetään verkonlaajuista energiatehokkuutta keilanmuodostuksen ja palvelevan tukiaseman yhteisoptimoinnilla. Tässä käytetään verrattain realistista tehonkulutusmallia, joka sisältää datanopeudesta riippuvan prosessointitehon ja epälineaarisen tehovahvistimen (PA, power amplifier) hyötysuhteen. Jotta saadaan käsitys ongelman optimaalisesta suorituskyvystä, siihen kehitetään globaalisti optimaalinen menetelmä. Lisäksi ehdotetaan kaksi käytännöllisempää iteratiivista menetelmää, jotka saavuttavat lähes optimaalisen suorituskyvyn. Lopuksi keskitytään monen parin vahvista-ja-välitä eteenpäin (AF. amplify and forward) verkkoon, jossa aikajakokytkentää käyttävät energiarajoitetut toistimet keräävät energiaa käyttäjien lähettämistä radiosignaaleista. Jotta saavutetaan EE:n oikeudenmukaisuus kaikkien parien välillä, parametrit, kuten käyttäjien lähetysteho, toistimen keilanmuodostus, ja energiankeräysaika suunnitellaan yhdessä. Tässä tutkitaan nopeusriippuvaisen piirin tehon, epälineaarisen tehovahvistimen hyötysuhteen ja epälineaaristen energiankeräyspiirien tehon vaikutusta suorituskykyyn
Sudhakar, Modem. "Optimization of networks with energy harvesting relays." Thesis, 2018. http://localhost:8080/xmlui/handle/12345678/7582.
Повний текст джерелаTe-LinKung and 孔德琳. "Relay Selection and Block Scheduling for Energy Harvesting Relays Based on Time Division Multiplexing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/05259961840669336141.
Повний текст джерела國立成功大學
電腦與通信工程研究所
103
Energy harvesting (EH) is an attractive solution to prolong the lifetime of wireless devices. As the replacement of traditional battery-powered relay nodes, EH relays extract energy from the signal of the source node and use the harvested energy to perform information relaying, enabling a self-sustainable cooperative network. To use the harvested energy efficiently which is limited due to the energy loss by wireless channel impairment and RF-DC conversion, it is important to properly schedule the two tasks for relays, namely information and EH, within a transmission block. In this thesis, we investigate block scheduling and relay selection problems in a cooperative networks with EH relays. In terms of block scheduling, we consider two variants of time division multiplexing, including partial time reuse and full-duplex scheduling. In terms of relay selection, we propose a relay selection scheme where selected max-max relay selection (S-MMRS) considers both the source-relay channel for EH and the relay-destination channel for information relaying in selecting the cooperating relay. To evaluate the performance of the proposed S-MMRS, we theoretically analyze the outage probability and the throughput and the simulation results are presented to verify the analysis accuracy and demonstrate the impact of system parameters to the proposed relay selection scheme.
Lin, Yean-ping, and 林晏平. "Lifetime Maximization in AF Cooperative Networks with Energy-Harvesting Relays." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/8c2etv.
Повний текст джерела國立中山大學
通訊工程研究所
103
In this thesis, we consider AF cooperative networks with multiple radio frequency energy-harvesting (RFEH) relays, and investigate power allocation and relay selection strategies to prolong the network lifetime since relays are battery-powered with limited energy. Through cooperation among multiple relays, reliability and transmission rate of cooperative networks are enhanced by exploiting spatial diversity. If relays rely on wireline power supplies, implementation cost must increase and mobility is lacked. Therefore, we consider relays apply RFEH technology to harvest energy by transferring ambient RF signal into electrical energy, so that they can be self-sustained. Consequently, the network lifetime can be further prolonged. In this thesis, we investigate relay selection strategies to choose one relay to forward messages while the others perform energy harvesting. Those selection strategies aim to minimize the loss of energy dissipation, reducing wasted energy and increase the average harvested energy, in order to prolong the network lifetime. In this thesis, we define network lifetime based on the outage performance of the network. Specifically, if outage probability of network is lower than a threshold, the system is treated as &;quot;well-functioned&;quot;, and the network lifetime is defined as the longest period in which network is well-functioned. From the expression of outage probability, network lifetime is related to the residual energy of relays.Compares with existing relay selection strategies which take Channel State Information(CSI),Residual Energy Information(REI), and/or Harvested Energy Information(HEI) into account, we proposed a novel relay selection scheme based on opportunity cost of each choice. Because the proposed scheme properly exploits CSI, REI, and HEI, the proposed scheme outperforms others with stringent outage requirement. Moreover, since all relay selection strategies require simply local CSI, REI, and HEI, they can be accomplished in a distributed manner through opportunistic carrier sensing without extra overhead.
Yu-HsienLi and 李郁賢. "Cooperative Relay Selection Scheme based on Wireless Energy Harvesting." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/15346663975401734418.
Повний текст джерела國立成功大學
電腦與通信工程研究所
102
The use of energy harvesting (EH) nodes as cooperative relays is a promising and emerging solution for energy limited wireless systems, rendering the network self-sustaining with significantly prolonged lifetime. In this thesis, we consider multiple EH relay nodes harvesting energy from the radio frequency (RF) signal received from the source and use that harvested energy to forward the source information to the destination. Unlike conventional wireless nodes relied on fixed power supplies, EH relays may not be permanently available to assist the source transmission due to the limited energy conversion efficiency, the mismatch between the charging and discharging profiles, and the finite energy storage capacity. Our objective is to improve the reliability of EH relays by properly selecting one relay to perform data forwarding while the remaining relays perform energy harvesting. We propose the ``battery-aware relay selection (BARS)', which jointly considers the channel condition and the buffer status for relay selection. The outage probability of the proposed scheme is analyzed based on a Markov chain model. Simulations are performed to validate the analysis accuracy. The proposed scheme is compared with the ``CSI-based relay selection scheme', which selects the cooperating relay only based on the channel condition. Through numerical results, we show that the CSI-based scheme suffers error floor while the propose BARS scheme can achieve the full diversity order equal to the number of relays without the need of fixed power cables.
Mashiri, Tatenda Kuwarika. "Relay selection in massive MIMO wireless energy harvesting cognitive networks." Thesis, 2020. https://hdl.handle.net/10539/31118.
Повний текст джерелаIn recent years, there has been an explosive growth in bandwidth-hungry wireless devices and applications which has, in turn, caused a strain on the provisions of the present electromagnetic spectrum. Several technologies have been studied and implemented in the quest to try and alleviate this growing scarcity of the spectrum. This work, therefore, tries to address some of these challenges by looking at spectrum utilisation techniques and how optimal they can be implemented to improve the spectral efficiency and overall system performance. This research seeks to investigate the sum-rate and outage performance of an energy harvesting cognitive massive multiple-input multiple-output (MIMO) multi-relay assisted network with underlay spectrum sharing. The secondary network is permitted to opportunistically access the licenced primary network frequency band provided that the intra-cell interference imposed on the primary base station due to concurrent secondary network transmissions does not exceed the pre-set interference temperature and hence maintain the quality-of-service (QoS) requirements of the primary network. The introduction of relays improves the system performance by increasing the network coverage and this research analyses the performance of the cognitive relay networks by looking at (i) the effect of primary user interference on the relay and subsequently relay selection, (ii) the outage probability of the secondary network being assisted by an amplify-and-forward (AF) relay and (iii) the impact of the number of relay antennas and the number of relays. The power-constrained secondary network nodes harvest energy from concurrent transmissions of the energy sufficient primary users. A time switching protocol is implemented in this work for energy harvesting and closed-form expressions for the harvested energy and achievable sum-rate are derived. To that end, this research seeks to quantify the trade-off between the achievable sum-rate of the network and the harvested energy. The primary base station and secondary destination employ zero-forcing detection and performance is investigated over Rayleigh fading
CK2021
Chiu, Han-Chiuan, and 邱翰銓. "Precoding Design in Two-Way Cooperative System with Energy Harvesting Relay." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/64785606245180005933.
Повний текст джерела國立中山大學
電機工程學系研究所
102
Due to rapid development of mobile communications, radio-frequency signals are surrounded in our environment. Besides conveying information, the ambient radio-frequency signal has gradually been utilized for energy harvesting. Radio Frequency energy harvesting begins from the fact that people gradually rely on mobile applications, such as communication apps., picturing software, and games, in their daily life. However, these applications are energy consuming. Although these devices can be charged through portable power bank, the energy stored in the power bank is still limited, which leads to inconvenience when the power bank is in outage. To provide further convenience, RF energy harvesting has been developed to avoid mobile devices suffering power outage by gathering energy from from the ambient radio frequency signals and transferring into electricity. Furthermore, simultaneously processing information and harvesting energy from the RF signal has been studied extensively in recent years. In this thesis, we will employ this technique in two-way amplify-and-forward relay system, where two users exchange information under assistance of an energy-harvesting relay node. Specifically speaking, transmission power of the relay node depends on the electrical energy harvested in previous phase. We assume that the relay node is equipped with two antennas, while the users are equipped with a single antenna. With perfect channel information, the relay node can coherently combines the signals received at two antennas, so that the relay node is able to gather more energy. In this thesis, we proposed a joint design of a precoding matrix and power-slitting ratios for the relay node to maximize the sum-rate of two users under a constraint that the transmission power of the relay node cannot exceed the harvested energy. However, this optimization problem is neither convex nor concave, and it can’t be solved by CVX tool. Thus, we divide the problem into two sub-problems to approach a locally-optimal solution of the precoding matrix and power-splitting ratios in an iterative manner. Specifically, we employ gradient algorithm to obtain power-splitting ratios with initial value obtained by exhaustively searching over a rough grid. Then, the beamforming matrix is obtained using power iteration algorithm. After several iterations, two subproblems get converged and we can find the set of suboptimal solutions. It shows through simulation results that the proposed scheme can effectively improve the spectrum efficiency of the system.
Частини книг з теми "Energy harvesting relays"
Samanta, Dipak, Chanchal Kumar De, and Abhijit Chandra. "Performance Analysis of Energy Harvesting-Based CR Network Assisted by Full-Duplex Relays Under Joint Underlay/Overlay Mode." In Lecture Notes in Electrical Engineering, 617–31. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2710-4_49.
Повний текст джерелаLiang, Guangjun, Jianfang Xin, Qun Wang, Lingling Xia, and Meng Li. "Energy Efficiency Optimization for RF Energy Harvesting Relay System." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 53–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68737-3_4.
Повний текст джерелаYang, Mengqi, Yonghong Kuo, and Jian Chen. "Relay Selection Scheme for Energy Harvesting Cooperative Networks." In Communications and Networking, 13–22. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66628-0_2.
Повний текст джерелаLi, Huijiang, Neeraj Jaggi, and Biplab Sikdar. "Cooperative Relay Scheduling in Energy Harvesting Sensor Networks." In Green IT: Technologies and Applications, 127–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22179-8_7.
Повний текст джерелаHu, Wanqiu, Yanxin Yao, Zhengwei Ni, Rajshekhar V. Bhat, and Mehul Motani. "Time-Switching Energy Harvesting Relay Optimizing Considering Decoding Cost." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 663–73. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48513-9_53.
Повний текст джерелаZhang, Zhiqiang, Yifei Wei, Bo Gu, Xaojun Wang, and Mei Song. "Energy Harvesting Relay Node Deployment for Network Capacity Expansion." In Human Centered Computing, 301–10. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74521-3_33.
Повний текст джерелаYan, Kaiqiang, Guochun Ren, Jin Chen, Guoru Ding, and Huidong Liu. "Optimal Cooperation Strategy in Cognitive Relay Networks with Energy Harvesting." In Proceedings of the 2015 International Conference on Communications, Signal Processing, and Systems, 93–102. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49831-6_10.
Повний текст джерелаLi, Jianxiong, Ke Zhao, Xianguo Li, Xuelong Ding, and Weiguang Shi. "Research on Interference Energy Harvesting Based on SWIPT Relay System." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 430–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90802-1_38.
Повний текст джерелаLi, Xian, Yulong Han, Qiuling Tang, and Jiahao Shi. "A Relay Protocol in AF Relaying Wireless Energy Harvesting Network." In Advances in Intelligent, Interactive Systems and Applications, 823–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-02804-6_107.
Повний текст джерелаTran, Xuan Nam, Tran Manh Hoang, Nguyen Ba Cao, and Le The Dung. "Outage Performance of the Downlink NOMA Relay Networks with RF Energy Harvesting and Buffer Aided Relay." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 164–77. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05873-9_14.
Повний текст джерелаТези доповідей конференцій з теми "Energy harvesting relays"
Amarasuriya, Gayan, Shang Liu, and H. Vincent Poor. "Wireless energy harvesting massive MIMO relays." In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). IEEE, 2016. http://dx.doi.org/10.1109/sam.2016.7569750.
Повний текст джерелаKung, Te-Lin, and Kuang-Hao Liu. "Relay Selection for Energy-Harvesting Relays with Short-Term Energy Storage." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7842210.
Повний текст джерелаLee, Yu-Hsien, and Kuang-Hao Liu. "Battery-aware relay selection for energy-harvesting relays with energy storage." In 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2015. http://dx.doi.org/10.1109/pimrc.2015.7343588.
Повний текст джерелаLuo, Yaming, Jun Zhang, and Khaled B. Letaief. "Achieving energy diversity with multiple energy harvesting relays." In 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2014. http://dx.doi.org/10.1109/wcsp.2014.6992051.
Повний текст джерелаMheich, Zeina, and Valentin Savin. "Cooperative communication protocols with energy harvesting relays." In 2017 Wireless Days (WD). IEEE, 2017. http://dx.doi.org/10.1109/wd.2017.7918116.
Повний текст джерелаHejri, Farrokh, Reyhaneh Khabir, and Mohammad Javad Emadi. "Optimal power allocation for parallel relay network with/without energy-harvesting relays." In 2017 Iranian Conference on Electrical Engineering (ICEE). IEEE, 2017. http://dx.doi.org/10.1109/iraniancee.2017.7985398.
Повний текст джерелаLiu, Kuang-Hao. "Outage-optimal relay selection for energy-harvesting relays based on power splitting." In 2015 International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2015. http://dx.doi.org/10.1109/wcsp.2015.7341060.
Повний текст джерелаLiu, Kuang-Hao. "Selection cooperation using RF energy harvesting relays with finite energy buffer." In 2014 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2014. http://dx.doi.org/10.1109/wcnc.2014.6952643.
Повний текст джерелаMurali, K., and S. Siva Perumal. "Block Consecutive Minimization Method with Wireless Energy Harvesting Relays." In 2018 Third International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). IEEE, 2018. http://dx.doi.org/10.1109/iceeccot43722.2018.9001433.
Повний текст джерелаBaidas, Mohammed W. "Energy-Efficiency Maximization in Downlink Clustered NOMA Networks with Energy-Harvesting Relays." In 2020 International Conference on Communications, Signal Processing, and their Applications (ICCSPA). IEEE, 2021. http://dx.doi.org/10.1109/iccspa49915.2021.9385765.
Повний текст джерела