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Journal articles on the topic 'Cooperatie relay beamforming'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Ryu, Jong Yeol, and Jung Hoon Lee. "Trust Degree-Based MISO Cooperative Communications with Two Relay Nodes." Wireless Communications and Mobile Computing 2019 (January 1, 2019): 1–13. http://dx.doi.org/10.1155/2019/7927358.

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In this paper, we propose transmission strategies in multiple-input-single-output (MISO) cooperative communications with two relay nodes in cases when the relay nodes have different trust degrees, where the trust degrees represent how much the relay nodes can be trusted for cooperation. For the given trust degrees and channel conditions, we first derive a relay selection strategy that maximizes the expected achievable rate. We then propose a cooperative transmission strategy of relays with an optimal cooperative beamforming vector that maximizes the expected achievable rate, which is a linear combination of weighted channel vectors. Finally, we derive the optimal transmission strategy, which is a mixed strategy between the relay selection and cooperative transmission strategies with respect to the trust degrees. Our analysis and numerical results show that the proposed transmission strategies increase the expected achievable rate by exploiting the trust degrees of the relay nodes, along with the channel conditions.

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2

Mahboobi, Behrad, Mehrdad Ardebilipour, Ashkan Kalantari, and Ehsan Soleimani-Nasab. "Robust Cooperative Relay Beamforming." IEEE Wireless Communications Letters 2, no. 4 (August 2013): 399–402. http://dx.doi.org/10.1109/wcl.2013.050613.130105.

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3

Shukla, Aasheesh, Vishal Goyal, Puneet Mishra, and Vinay Kumar Deolia. "Cooperative relay beamforming in IDMA communication networks." Journal of Electrical Engineering 69, no. 4 (August 1, 2018): 300–304. http://dx.doi.org/10.2478/jee-2018-0042.

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Abstract In this paper, a new combination of Interleave division multiple access (IDMA) and spatial diversity offered by cooperative relay aided distributed beam forming is proposed. In the offered scheme communication strategy consists two steps. All users broadcast their message to relays in the first step and then relays amplifies and forward the information to the desired destination. IDMA, which is popular non-orthogonal multiple access (NOMA) technique is used to combat the effect of multiple access interference (MAI) at relay as well as destination nodes. Each relay processed the signal to maintain the QoS of destination. The goal of this work is to find the appropriate beam forming weights by minimising the transmit power and without compromising the QoS in terms of SINR. However power minimization is not the convex problem, so semi-definite relaxation is used to modify the problem in to semi-definite programming (SDP) problem and the conventional SDP problem solver CVX is used for solution. The numerical explanation and simulation experiment of the proposed scheme shows the performance improvements in terms of bit error rate.

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4

Ghamari Adian, Mehdi. "Beamforming with Reduced Complexity in MIMO Cooperative Cognitive Radio Networks." Journal of Optimization 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/325217.

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An approach for beamforming with reduced complexity in MIMO cooperative cognitive radio networks (MIMO-CCRN) is presented. Specifically, a suboptimal approach with reduced complexity is proposed to jointly determine the transmit beamforming (TB) and cooperative beamforming (CB) weight vectors along with antenna subset selection in MIMO-CCRN. Two multiantenna secondary users (SU) constitute the desired link, one acting as transmitter (SU TX) and the other as receiver (SU RX) and they coexist with single-antenna primary and secondary users. Some of single antenna secondary users are recruited by desired link as cooperative relay. The maximization of the achievable rates in the desired link is the objective of this work, provided to interference constraints on the primary users are not violated. The objective is achieved by exploiting transmit beamforming at SU TX, cooperation of some secondary users, and cooperative beamforming. Meanwhile, the costs associated with RF chains at the radio front end at SU RX are reduced. Through simulations, it is shown that better performance in the desired link is attained, as a result of cooperation of SUs.

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5

Cheng, Ruixia, Yu Tian, Junwen Zhu, and Yiwen Zhang. "Research on anti-jamming beamforming with multi-UAV relays." ITM Web of Conferences 45 (2022): 02006. http://dx.doi.org/10.1051/itmconf/20224502006.

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As the common means of field emergency communication, the unmanned aerial vehicle (UAV) relay plays an important role in both civil and military fields. With the diversification of requirements and the limitations of single operation, multi-UAV cooperative work has attracted extensive attention. However, due to the UAV signal’s universality of broadcast and the limitation of power, information transmission is more likely to be interrupted. Therefore, in the presence of interference, this paper adopts forward amplification protocol under UAV relay transmission model. And two beamforming methods are proposed based on minimizing transmission power and maximizing communication rate of UAV relays. Then, we establish the power-constrained maximum security rate optimization problem with UAV relays, and deduce the corresponding beamforming weight vector and the optimal rate of safety. Finally, the simulation results show the effectiveness and accuracy of the proposed beamforming method.

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6

Han, Chun Lei, Mei Lu Lin, and Ye Yang. "Performance Analysis for Hybrid Cooperative Beamforming in Wireless Relay Networks." Applied Mechanics and Materials 543-547 (March 2014): 3435–40. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3435.

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This paper considers a relay-assisted hybrid cooperative beamforming system in independent and identically Rayleigh fading channels. In this system, each relay can adaptively employ amplify-and-forward (AF) or decode-and-forward (DF) protocol for maximizing the instantaneous signal-to-noise ratio (SNR). Tight upper and lower bounds for the outage probability have been derived in closed form, based on which we investigate the achievable diversity of the hybrid cooperative beamforming system. We also present the corresponding upper and lower bounds of the average channel capacity. Numerical results are provided to validate our theoretic analyses.

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7

Yu, Haiyang, Wei Duan, Qiang Sun, Xia Wang, Jue Wang, Jun Li, and Jaeho Choi. "Generalized Beamforming Design for Cooperative MIMO Multirelay Networks with Infinite Constraints and Imperfect CSI." Mathematical Problems in Engineering 2018 (2018): 1–8. http://dx.doi.org/10.1155/2018/9797549.

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A generalized base station-relay-user equipment (BS-Relay-UE) beamforming design is investigated for a cooperative multiple-input multiple-output (MIMO) multirelay networks with imperfect channel state information (CSI). In order to minimize the worst-case mean square error (MSE) which is subject to a semi-infinite (SI) relay power constraints, a generalized optimal beamforming structure for the relay amplifying matrix is effectively proposed, and then the SI relay power constraints are converted into linear matrix inequalities (LMIs) version. In such conversion, the objective problem recasts as a decoupled biconvex semidefinite programming (SDP) one which can be efficiently solved by the proposed alternating algorithm. The system performance has been verified in terms of worst-case MSE using a set of qualitative analyses. The results show us that the proposed beamforming method outperforms the conventional schemes and can also effectively reduce the computational complexity when it is compared to the cutting-set schemes and also to the nonrobust ones.

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8

Zhu, Jinxin, and Jun Shao. "Outage Constraint Robust Cooperative Beamforming and Jamming Design for Secure AF Relay Networks." Mathematical Problems in Engineering 2021 (November 5, 2021): 1–7. http://dx.doi.org/10.1155/2021/5919617.

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This paper investigates a joint robust scheme in a secrecy relay network where distributed relays perform cooperative beamforming and a friendly jammer transmits jamming signal to enhance the information security. Specifically, we consider the outage constraint secrecy rate maximization design with imperfect channel state information. Through semidefinite relaxation and one-dimensional search, we propose a two-layer optimization method to solve the nonconvex problem. In addition, the Bernstein-type inequality and large deviation inequality are utilized to convert the probabilistic constraint. Simulation results demonstrate the performance of the proposed design.

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9

Choi, Jinho. "MMSE-Based Distributed Beamforming in Cooperative Relay Networks." IEEE Transactions on Communications 59, no. 5 (May 2011): 1346–56. http://dx.doi.org/10.1109/tcomm.2011.030411.100158.

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10

Ali, Sumayya, and K. M. Smitha. "Optimal Cooperative Beamforming Design for MIMO Relay Channels." Procedia Technology 24 (2016): 796–803. http://dx.doi.org/10.1016/j.protcy.2016.05.096.

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11

Tao, Xiangshuai, Zhi Lin, Chunyan Yin, Wei Shi, Guoqiang Cheng, and Weiye Xu. "Cooperative Beamforming for Hybrid Satellite-Terrestrial Relay Networks." Procedia Computer Science 131 (2018): 1170–79. http://dx.doi.org/10.1016/j.procs.2018.04.292.

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12

Messier, G. G., J. F. Bousquet, and S. Magierowski. "Cooperative opportunistic beamforming using integrated relay node prototype." Electronics Letters 47, no. 11 (2011): 676. http://dx.doi.org/10.1049/el.2011.0828.

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13

Ramezani-Kebrya, Ali, Min Dong, Ben Liang, Gary Boudreau, and Ronald Casselman. "Per-Relay Power Minimization for Multi-user Multi-channel Cooperative Relay Beamforming." IEEE Transactions on Wireless Communications 15, no. 5 (May 2016): 3187–98. http://dx.doi.org/10.1109/twc.2016.2517629.

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14

Messadi, 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.

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Unlike the fixed power grid cooperative networks, which are mainly based on the reception reliability parameter while choosing the best relay, the wireless-powered cooperative communication network (WPCCN) and in addition to the reception reliability the transmission requirement consideration is important for relay selection schemes. Hence, enabling efficient transmission techniques that address high attenuation of radio frequency (RF) signals according to the distance without increasing the total transmission power is an open issue worth studying. In this relation, a multiantennas power beacon (PB) that assists wireless-powered cooperative communication network (PB-WPCCN) is studied in this paper. The communication between source and destination is achieved with the aid of multiple relays, where both the source and the multiple relays need to harvest energy from the PB in the first place to enable their transmission functionalities. A novel relay selection scheme is proposed, named as two-round relay selection (2-RRS), where a group of relays that successfully decode the source information is selected in the first round selection. In the second round, the optimal relay is selected to forward the recorded information to the destination. The proposed 2-RRS scheme is compared with two existing relay selection schemes, i.e., partial relay selection (PRS) and opportunistic relay selection (ORS). The analytical closed-form expressions of outage probability and average system throughput are derived and validated by numerical simulation. The comparison results between different relay selection schemes show: (I) The superiority of the proposed 2-RRS scheme as it achieves around 17% better throughput compared to the conventional ORS scheme and 40% better than the PRS scheme, particularly when PB transmit power is 10 dB; (II) The proposed 2-RRS scheme guarantees the lowest outage probability, especially when the PB is equipped with multiantennas and performs beamforming technique; (III) The optimal localisation of the PB between the source and N relays depends on the adopted relay selection scheme; (IV) The exhaustive search of the maximum system throughput value shows that the proposed 2-RRS scheme required shorter energy harvesting time compared to other schemes. The increase in energy harvesting time and number of relays do not necessarily reflect positively on the system throughput performance; hence tradeoffs should be taken into consideration.

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15

Zhu, Jia, Ying Yao, Yulong Zou, and Tong Wu. "Cooperative beamforming for multi-relay networks with limited feedback." China Communications 16, no. 10 (October 2019): 56–64. http://dx.doi.org/10.23919/jcc.2019.10.004.

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16

Hongyan Cai, Wenbao Ai, and Tao Yi. "Cooperative Beamforming In Cognitive Radio Network With Af Relay." Journal of Convergence Information Technology 8, no. 2 (January 31, 2013): 41–48. http://dx.doi.org/10.4156/jcit.vol8.issue2.6.

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17

Zhou, Zhendong, and Branka Vucetic. "A Cooperative Beamforming Scheme in MIMO Relay Broadcast Channels." IEEE Transactions on Wireless Communications 10, no. 3 (March 2011): 940–47. http://dx.doi.org/10.1109/twc.2011.011211.100752.

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18

Abbasi-Jannatabad, M., and H. Khoshbin. "Cooperative beamforming and relay selection in cognitive radio systems." International Journal of Communication Systems 29, no. 2 (July 24, 2014): 330–40. http://dx.doi.org/10.1002/dac.2834.

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19

Iwabuchi, Masashi, Yoghitha Ramamoorthi, and Kei Sakaguchi. "User-Driven Relay Beamforming for mmWave Massive Analog-Relay MIMO." Sensors 23, no. 2 (January 16, 2023): 1034. http://dx.doi.org/10.3390/s23021034.

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Sixth-generation mobile communication (6G) aims to further improve capacity and reliability by controlling the radio propagation environment. Millimeter wave (mmWave) high-frequency band communication offers large bandwidth at the cost of high attenuation, even for smaller distances. Due to this, fewer multiple input multiple outputs (MIMO) multiplexing is possible at the base station (BS). Distributed analog relay nodes with beamforming capability improve the received power and MIMO multiplexing of mmWave communication. Due to limited signal processing, the analog relay node cannot perform beam search and tracking using these mmWave reference signals. The beam search and tracking are possible at BS or user equipment at the cost of increased control overhead. To reduce this overhead and provide relay-based 6G communication, we propose user-driven relay beamforming methods which can obtain the benefits of a massive analog relay MIMO. Assuming vehicular-to-everything (V2X) as a 6G application, we considered a relay-beam control method that uses the user information (location, velocity, acceleration, and direction of the terminal) contained in intelligent transport systems (ITS) messages called Cooperative Awareness Message (CAM). Simulation results show that the proposed method significantly reduces the overhead and the obtains benefits of the massive analog-relay MIMO. Furthermore, the accuracy of CAM’s location information, the control period, and the effects of UE mobility are evaluated and presented. The results also show that the proposed method can work effectively in future V2X applications.

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20

Kaushik, Minakshi. "IDMA Network Connectivity With Coordinated Relaying Beamforming." Journal of Futuristic Sciences and Applications 4, no. 1 (2021): 7–12. http://dx.doi.org/10.51976/jfsa.412102.

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This study proposes a new method of achieving geographic variety using cooperative relays in conjunction with IDMA to produce dispersed beams. Throughput in wireless networks is something that can perhaps be improved with this combo. The suggested concept requires a two-pronged approach to communication. Initially, users would communicate their information to relaying, that will amplify the data and deliver it to the desired place. IDMA is a well-known NOMA technique that may reduce the effects of MAI at both relay and end nodes. This interference might happen at any of these two nodes. To maintain the final destination’s QoS, the signal was processed carefully at each relay. This research tries to find the optimal beam formation weights by minimizing transmit power while keeping quality (as assessed by signal-to-noise ratio) high (SINR). However, the power minimization problem is not a convex one, thus semi-definite relaxation is used to transform it into a semi-definite programming (SDP) challenge, which may then be solved using the standard SDP problem solver CVX. The mathematical analysis and simulation experiment of the proposed technique show that performance may be enhanced as determined by the bit error rate.

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21

Liu, Yi, and Weiqing Nie. "Selection based cooperative beamforming and power allocation for relay networks." Journal of Communications and Networks 13, no. 4 (August 2011): 377–84. http://dx.doi.org/10.1109/jcn.2011.6157457.

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22

Kim, Junsu, Aissa Ikhlef, and Robert Schober. "Combined relay selection and cooperative beamforming for physical layer security." Journal of Communications and Networks 14, no. 4 (August 2012): 364–73. http://dx.doi.org/10.1109/jcn.2012.6292243.

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23

Choi, Jinho. "Distributed Beamforming Using a Consensus Algorithm for Cooperative Relay Networks." IEEE Communications Letters 15, no. 4 (April 2011): 368–70. http://dx.doi.org/10.1109/lcomm.2011.012511.102156.

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24

Ramezani-Kebrya, Ali, Ben Liang, Min Dong, Gary Boudreau, and Ronald Casselman. "Interference Minimization in Cooperative Relay Beamforming With Multiple Communicating Pairs." IEEE Transactions on Wireless Communications 16, no. 10 (October 2017): 6514–27. http://dx.doi.org/10.1109/twc.2017.2724508.

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25

Yang, Ye, Qiang Li, Wing-Kin Ma, Jianhua Ge, and P. C. Ching. "Cooperative Secure Beamforming for AF Relay Networks With Multiple Eavesdroppers." IEEE Signal Processing Letters 20, no. 1 (January 2013): 35–38. http://dx.doi.org/10.1109/lsp.2012.2227313.

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26

Mehrizi, Sajad, and Behrad Mahboobi. "Cooperative MIMO relay beamforming in overloaded DS/CDMA multicast networks." IET Communications 11, no. 3 (February 16, 2017): 344–54. http://dx.doi.org/10.1049/iet-com.2016.0610.

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27

Dimas, Anastasios, Dionysios S. Kalogerias, and Athina P. Petropulu. "Cooperative Beamforming With Predictive Relay Selection for Urban mmWave Communications." IEEE Access 7 (2019): 157057–71. http://dx.doi.org/10.1109/access.2019.2950274.

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28

Che, Enlong, Hoang Duong Tuan, and Ha H. Nguyen. "Joint Optimization of Cooperative Beamforming and Relay Assignment in Multi-User Wireless Relay Networks." IEEE Transactions on Wireless Communications 13, no. 10 (October 2014): 5481–95. http://dx.doi.org/10.1109/twc.2014.2324588.

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29

Luo, Jie, Sai Zhao, Zhao Yang, Gaofei Huang, and Dong Tang. "Data-Driven-Based Relay Selection and Cooperative Beamforming for Non-Regenerative Multi-Antenna Relay Networks." IEEE Access 9 (2021): 167154–61. http://dx.doi.org/10.1109/access.2021.3136332.

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30

Moharrer, Hesam, and Ali Olfat. "Joint relay selection and cooperative beamforming in two-hop multi-relay decode-and-forward networks." IET Communications 8, no. 18 (December 18, 2014): 3245–53. http://dx.doi.org/10.1049/iet-com.2014.0408.

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31

Zhang, Yuxian, and Roger S. Cheng. "Relay Subset Selection in Cooperative Systems with Beamforming and Limited Feedback." IEEE Transactions on Wireless Communications 12, no. 10 (October 2013): 5271–81. http://dx.doi.org/10.1109/twc.2013.090413.130199.

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32

Moharrer, Hesam, Ali Olfat, and Norman C. Beaulieu. "Cooperative Beamforming for Two-Hop Multi-Relay Decode-and-Forward Networks." IEEE Transactions on Communications 63, no. 9 (September 2015): 3143–56. http://dx.doi.org/10.1109/tcomm.2015.2454493.

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33

Li, Quanzhong, and Liang Yang. "Beamforming for Cooperative Secure Transmission in Cognitive Two-Way Relay Networks." IEEE Transactions on Information Forensics and Security 15 (2020): 130–43. http://dx.doi.org/10.1109/tifs.2019.2918431.

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34

Xiong, Ke, Pingyi Fan, Zhengfeng Xu, Hong-Chuan Yang, and Khaled Ben Letaief. "Optimal Cooperative Beamforming Design for MIMO Decode-and-Forward Relay Channels." IEEE Transactions on Signal Processing 62, no. 6 (March 2014): 1476–89. http://dx.doi.org/10.1109/tsp.2014.2298380.

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35

Gu, Pengwenlong, Cunqing Hua, Wenchao Xu, Rida Khatoun, Yue Wu, and Ahmed Serhrouchni. "Control Channel Anti-Jamming in Vehicular Networks via Cooperative Relay Beamforming." IEEE Internet of Things Journal 7, no. 6 (June 2020): 5064–77. http://dx.doi.org/10.1109/jiot.2020.2973753.

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36

Talebi, A., and W. A. Krzymień. "Cooperative MIMO multiple-relay system with optimised beamforming and power allocation." IET Communications 4, no. 14 (2010): 1677. http://dx.doi.org/10.1049/iet-com.2009.0684.

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37

Moghaddam, Javad Zeraatkar, Hamid Farrokhi, and Naaser Neda. "Joint Clustering Relay Selection and Beamforming in Cooperative Cognitive Radio Networks." Wireless Personal Communications 95, no. 4 (February 1, 2017): 3601–16. http://dx.doi.org/10.1007/s11277-017-4014-9.

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38

Nasr, Kashif, and Noor Muhammad Khan. "Toward connectivity of a disconnected cluster in partitioned wireless sensor network for time-critical data collection." International Journal of Distributed Sensor Networks 16, no. 12 (December 2020): 155014772098465. http://dx.doi.org/10.1177/1550147720984654.

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Reliable network connectivity is one of the major design issues in the context of wireless sensor networks. These networks have diverse communication patterns due to non-uniform sensing activities at various locations in the environment being monitored. In such scenarios, some nodes lying in high-traffic zones may consume more energy and eventually die out resulting in network partitioning. This gives rise to a situation in which alive nodes are trapped in a disconnected cluster, and they do not have enough radio range to communicate their data to the destination (i.e. a sink or a relay node connected to the main part of the network). This phenomenon may deprive a large number of alive nodes of sending their important time-critical data to the sink. In this article, we propose a virtual antenna–based cooperative beamforming approach for retrieving valuable data from these disconnected nodes. In the proposed approach, the sensor nodes in an isolated partition work together to form a directional beam. This directional beam significantly increases their overall communication range to reach out to a distant relay node which is connected to the main part of the network. The proposed approach of cooperative beamforming–based partition connectivity is more effective when a cluster with a favorably large number of nodes gets partitioned. Furthermore, a beamforming-based mechanism is proposed for a disconnected cluster to locate the nearest relay node which is still connected to the sink and to reconnect itself to the main part of the network via the most adjacent relay node for time-critical data transmission. The proposed mechanism is then evaluated through simulation results.

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39

Wang, Yong, Xiyuan Wang, Qiao Liu, and Hui Li. "Distributed Satellite Relay Cooperative Communication with Optimized Signal Space Dimension." Remote Sensing 14, no. 18 (September 8, 2022): 4474. http://dx.doi.org/10.3390/rs14184474.

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With the increasingly obvious trend of satellite communication and network integration, especially the emergence of inter satellite links, the interconnection between space nodes has become the development trend and inevitable requirement of future space communication. However, problems, such as long communication distance, large transmission delay and loss, limited network resources and frequent switching of transmission links, limit the ability of spatial information transmission. Firstly, based on the idea of ring planning and design, this paper uses the joint design of beamforming between nodes to design the physical layer network coding in the relay to realize the reliable transmission of information. Secondly, according to the diversity of relay signal space resources and network node information exchange, a joint design method of relay compression matrix and node precoding vector is studied, which breaks through the existing configuration constraints. In this scheme, the computational complexity is reduced by compressing and precoding the matrix to ensure reliable decoding while obtaining spatial alignment gain and degrees of freedom. Simulated and real data results demonstrate the superiority and effectiveness of the proposed method.

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40

Hu, Zhentao, Dongdong Xie, Mingqi Jin, Lin Zhou, and Jifang Li. "Relay Cooperative Beamforming Algorithm Based on Probabilistic Constraint in SWIPT Secrecy Networks." IEEE Access 8 (2020): 173999–4008. http://dx.doi.org/10.1109/access.2020.3026359.

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41

Mohseni, Reyhaneh, and Ebrahim Daneshifar. "Robust cooperative beamforming for MIMO decode-and-forward one-way relay networks." Physical Communication 39 (April 2020): 100973. http://dx.doi.org/10.1016/j.phycom.2019.100973.

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42

Wang, Hui-Ming, Feng Liu, and Mengchen Yang. "Joint Cooperative Beamforming, Jamming, and Power Allocation to Secure AF Relay Systems." IEEE Transactions on Vehicular Technology 64, no. 10 (October 2015): 4893–98. http://dx.doi.org/10.1109/tvt.2014.2370754.

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43

Liang, Yang-wen, and Robert Schober. "Cooperative Amplify-and-Forward Beamforming with Multiple Multi-Antenna Relays." IEEE Transactions on Communications 59, no. 9 (September 2011): 2605–15. http://dx.doi.org/10.1109/tcomm.2011.060911.090599.

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44

Maleki Sadr, Mohammad Amin, Mahmoud Ahmadian-Attari, and Rouhollah Amiri. "Real-Time Cooperative Adaptive Robust Relay Beamforming Based on Kalman Filtering Channel Estimation." IEEE Transactions on Wireless Communications 18, no. 12 (December 2019): 5600–5612. http://dx.doi.org/10.1109/twc.2019.2937779.

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45

Hoang, Tiep M., Trung Q. Duong, Himal A. Suraweera, Chintha Tellambura, and H. Vincent Poor. "Cooperative Beamforming and User Selection for Improving the Security of Relay-Aided Systems." IEEE Transactions on Communications 63, no. 12 (December 2015): 5039–51. http://dx.doi.org/10.1109/tcomm.2015.2494012.

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46

SKumar, Ashok, and Sudha T. "Clustering and Cooperative Beamforming in Green Cognitive Radio Networks with Relays." International Journal of Computer Applications 121, no. 21 (July 18, 2015): 1–6. http://dx.doi.org/10.5120/21821-5066.

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47

Lee, Jong-Ho. "Cooperative beamforming of full-duplex relays for improving physical layer security." International Journal of Communication Systems 30, no. 4 (June 5, 2015): e2992. http://dx.doi.org/10.1002/dac.2992.

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48

Rajaram, Akashkumar, Rabia Khan, Selvakumar Tharranetharan, Dushantha Jayakody, Rui Dinis, and Stefan Panic. "Novel SWIPT Schemes for 5G Wireless Networks." Sensors 19, no. 5 (March 7, 2019): 1169. http://dx.doi.org/10.3390/s19051169.

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In this paper, we present a few novel simultaneous wireless information and power transfer (SWIPT) schemes that can be effectively used in various 5G wireless network implementations. First, we study the possibility of integrating distributed energy beamforming with the data rate fairness beamforming in a cooperative communication system with multiple cooperative relays and multiple destination users communicating simultaneously. We show that the system exploits significant performance gain using such a joint energy and data rate fairness beamforming scheme. Further, we propose an enhanced version of the SWIPT scheme, the energy-efficient modulation-based non-orthogonal multiple access (M-NOMA) SWIPT scheme, and observe its system efficiency in terms of more harvested energy. Finally, we consider an energy-harvesting SWIPT scheme where the channel response is estimated using the energy-harvesting signal as pilots superimposed on the information signal. For such a scheme, we compute the optimum transmit power ratio between the pilot and information signals under varying SNR conditions and improve the accuracy of the decoding process at the reception.

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Nguyen, Tuan Nhu. "Decode-and-Forward vs. Amplify-and-Forward Scheme in Physical Layer Security for Wireless Relay Beamforming Networks." Journal of Science and Technology on Information security 10, no. 2 (April 9, 2020): 9–17. http://dx.doi.org/10.54654/isj.v10i2.66.

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Abstract:

Abstract— To secure communication from the sender to the receiver in wireless networks, cryptographic algorithms are usually used to encrypt data at the upper layers of a multi-tiered transmission model. Another emerging trend in the security of data transmitted over wireless networks is the physical layer security based on beamforming and interference fading communication technology and not using cryptographic algorithms. This trend has attracted increasing concerns from both academia and industry. This paper addresses how physical layer security can protect secret data compare with the traditional cryptographic encryption and which is the better cooperative relaying scheme with the state of the art approached methods in wireless relaying beamforming network.Tóm tắt— Việc bảo mật truyền thông vô tuyến từ nơi gửi đến nơi nhận thường sử dụng các thuật toán mật mã để mã hoá dữ liệu tại các tầng phía trên trong mô hình phân lớp. Một xu hướng khác đang được quan tâm rộng rãi là bảo mật tầng vật lý dựa trên kỹ thuật truyền tin beamforming và kỹ thuật tương tác fading kênh chủ động. Xu hướng này hiện đang được thu hút cả trong giới công nghiệp và nghiên cứu. Đóng góp của bài báo này là làm rõ khả năng bảo mật tầng vật lý và so sách chúng với phương pháp bảo mật dùng kỹ thuật mật mã truyền thống. Bài báo cũng so sánh hai kỹ thuật chuyển tiếp được sử dụng chính trong bảo mật tầng vật lý cho mạng vô tuyến chuyển tiếp là Amplify-and-Forward và Decode-and-Forward.

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Wang, Hui-Ming, Miao Luo, Qinye Yin, and Xiang-Gen Xia. "Hybrid Cooperative Beamforming and Jamming for Physical-Layer Security of Two-Way Relay Networks." IEEE Transactions on Information Forensics and Security 8, no. 12 (December 2013): 2007–20. http://dx.doi.org/10.1109/tifs.2013.2287046.

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