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Journal articles on the topic 'Multi-way Relay Networks'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Li, Wen, and Min Dong. "Joint Relay Beamforming and Receiver Processing for Multi-Way Multi-Antenna Relay Networks." IEEE Transactions on Communications 66, no. 2 (February 2018): 576–88. http://dx.doi.org/10.1109/tcomm.2017.2761867.

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2

Lee, Kyu-Hwan, and Jae-Hyun Kim. "Multi-way relay system with network coding in multi-spot beam satellite networks." Wireless Networks 23, no. 1 (December 15, 2015): 205–17. http://dx.doi.org/10.1007/s11276-015-1147-1.

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3

Wang, Hui, and Qingchun Chen. "LDPC based Network Coded Cooperation Design for Multi-way Relay Networks." IEEE Access 7 (2019): 62300–62311. http://dx.doi.org/10.1109/access.2019.2915293.

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4

Rong, Yue. "Joint Source and Relay Optimization for Two-Way MIMO Multi-Relay Networks." IEEE Communications Letters 15, no. 12 (December 2011): 1329–31. http://dx.doi.org/10.1109/lcomm.2011.092911.111584.

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5

Wang, Chen, Hongyang Chen, Qinye Yin, Ang Feng, and Andreas F. Molisch. "Multi-User Two-Way Relay Networks with Distributed Beamforming." IEEE Transactions on Wireless Communications 10, no. 10 (October 2011): 3460–71. http://dx.doi.org/10.1109/twc.2011.081011.102277.

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6

Amuli, A., and J. Vinoth Kumar. "Optimal Channel and Relay Assignment in Ofdmbased Multi-Relay Multi-Pair Two-Way Communication Networks." International Journal of Business Intelligents 5, no. 1 (June 15, 2016): 79–85. http://dx.doi.org/10.20894/ijbi.105.005.001.019.

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7

Sharma, Pankaj K., and Prabhat K. Upadhyay. "Cooperative spectrum sharing in two-way multi-user multi-relay networks." IET Communications 10, no. 1 (January 4, 2016): 111–21. http://dx.doi.org/10.1049/iet-com.2015.0504.

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8

Liu, Yuan, and Meixia Tao. "Optimal Channel and Relay Assignment in OFDM-Based Multi-Relay Multi-Pair Two-Way Communication Networks." IEEE Transactions on Communications 60, no. 2 (February 2012): 317–21. http://dx.doi.org/10.1109/tcomm.2011.102011.100277.

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9

Wang, Miao, Peng Wang, Yonghui Li, Zhangdui Zhong, Fanggang Wang, and Branka Vucetic. "Transceiver Design for Multi-User Cellular Two-Way Relay Networks." IEEE Transactions on Signal Processing 63, no. 15 (August 2015): 4065–78. http://dx.doi.org/10.1109/tsp.2015.2436368.

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10

Lei, Xianfu, Rose Qingyang Hu, Lisheng Fan, and Geng Wu. "Opportunistic source scheduling in multi-source two-way relay networks." Wireless Communications and Mobile Computing 16, no. 4 (October 28, 2014): 459–68. http://dx.doi.org/10.1002/wcm.2528.

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11

Bai, Wenle, Yu Xiao, Danping Hu, and Yongmei Zhang. "Application Research of Multi-Mode Relay in Future Heterogeneous Networks." Applied Sciences 9, no. 18 (September 19, 2019): 3934. http://dx.doi.org/10.3390/app9183934.

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The fast increase of users in existing mobile networks requires more base stations (BSs) to bear more communication traffic. Future heterogeneous network is considered to be a promising candidate architecture to meet the demands of wireless networks under scarcity of radio frequency (RF) resources. In this paper, we present a multi-mode relay (MMR) model based on two-way relay technology, which is applied to heterogeneous hierarchical wireless networks (HHWN), and set up a system model of HHWN with 3 tiers, 2 users between the macrocell, and the picocell as the multi-mode relay (MMR). Specifically, we consider the new system with unequal relay emission power situation, which is usually researched in the traditional literature with equal relay emission powers. Based on this idea, we define the two-way SINR ratio, derive the mathematical formulas of outage error probability with channel estimation errors, and verify theoretical expressions by data simulations. For further comparison, several experiments are implemented to illuminate the effect on outage probability among different levels of relay emission power, noise power, and signal power. Furthermore, several conclusions are obtained, which have some meanings for implementing MMR in future heterogeneous networks.

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12

Wang, Miao, Peng Wang, Yonghui Li, Zhangdui Zhong, Fanggang Wang, and Branka Vucetic. "Transceiver Design for Multi-Pair Two-Way Relay Networks with Analogue Network Coding." IEEE Communications Letters 17, no. 12 (December 2013): 2284–87. http://dx.doi.org/10.1109/lcomm.2013.110413.131760.

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13

Vien, Quoc-Tuan, and Huan X. Nguyen. "Network coding-based channel quality indicator reporting for two-way multi-relay networks." Wireless Communications and Mobile Computing 14, no. 15 (September 18, 2012): 1471–83. http://dx.doi.org/10.1002/wcm.2296.

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14

Alabed, Samer. "Computationally Efficient Multi-Antenna Techniques for Multi-User Two-Way Wireless Relay Networks." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (June 1, 2018): 1684. http://dx.doi.org/10.11591/ijece.v8i3.pp1684-1691.

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In this work, we are interested in implementing, developing and evaluating multi-antenna techniques used for multi-user two-way wireless relay networks that provide a good tradeoff between the computational complexity and performance in terms of symbol error rate and achievable data rate. In particular, a variety of newly multi-antenna techniques is proposed and studied. Some techniques based on orthogonal projection enjoy low computational complexity. However, the performance penalty associated with them is high. Other techniques based on maximum likelihood strategy enjoy high performance, however, they suffer from very high computational complexity. The Other techniques based on randomization strategy provide a good trade-off between the computational complexity and performance where they enjoy low computational complexity with almost the same performance as compared to the techniques based on maximum likelihood strategy.

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15

Guo, Kefeng, Daoxing Guo, and Bangning Zhang. "Performance Analysis of Two-Way Multi-Antenna Multi-Relay Networks With Hardware Impairments." IEEE Access 5 (2017): 15971–80. http://dx.doi.org/10.1109/access.2017.2735451.

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16

Wang, Xinjie, Thomas Aaron Gulliver, Nan Yang, Tiep Minh Hoang, and Hao Zhang. "Generalised selection at multi-antenna sources in two-way relay networks." IET Communications 10, no. 7 (May 5, 2016): 824–31. http://dx.doi.org/10.1049/iet-com.2015.0110.

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17

Bozorgi, Seyedeh Fatemeh, and Soroush Akhlaghi. "Secrecy sum rate maximisation in multi-antenna two-way relay networks." IET Communications 14, no. 4 (March 3, 2020): 541–48. http://dx.doi.org/10.1049/iet-com.2018.6154.

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18

Ganesan, Rakash SivaSiva, Hussein Al-Shatri, Alexander Kuehne, Tobias Weber, and Anja Klein. "Pair-Aware Interference Alignment in Multi-User Two-Way Relay Networks." IEEE Transactions on Wireless Communications 12, no. 8 (August 2013): 3662–71. http://dx.doi.org/10.1109/twc.2013.0507.112171.

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19

Amarasuriya, Gayan, Chintha Tellambura, and Masoud Ardakani. "Performance Analysis of Pairwise Amplify-and-Forward Multi-Way Relay Networks." IEEE Wireless Communications Letters 1, no. 5 (October 2012): 524–27. http://dx.doi.org/10.1109/wcl.2012.072012.120473.

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20

Wang, Chenwei. "Beyond One-Way Communication: Degrees of Freedom of Multi-Way Relay MIMO Interference Networks." IEEE Transactions on Wireless Communications 15, no. 10 (October 2016): 7174–86. http://dx.doi.org/10.1109/twc.2016.2598330.

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21

Gong, Feng-Kui, Guo Li, Jianhua Ge, and Jinhong Yuan. "Distributed Concatenated Recursive Alamouti-Circulant STBC for Two-Way Multi-Relay Networks." IEEE Transactions on Communications 64, no. 8 (August 2016): 3262–74. http://dx.doi.org/10.1109/tcomm.2016.2589269.

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22

Timo, Roy, Gottfried Lechner, Lawrence Ong, and Sarah Johnson. "Multi-Way Relay Networks: Orthogonal Uplink, Source-Channel Separation and Code Design." IEEE Transactions on Communications 61, no. 2 (February 2013): 753–68. http://dx.doi.org/10.1109/tcomm.2012.121112.110730.

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23

Amarasuriya, Gayan, Chintha Tellambura, and Masoud Ardakani. "Multi-Way MIMO Amplify-and-Forward Relay Networks with Zero-Forcing Transmission." IEEE Transactions on Communications 61, no. 12 (December 2013): 4847–63. http://dx.doi.org/10.1109/tcomm.2013.110413.120762.

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24

DAI, Cui-qin, Fu-jia LI, and Zu-fan ZHANG. "Residual energy based multi-relay selection and power allocation scheme in two-way relay network." Journal of China Universities of Posts and Telecommunications 20, no. 4 (August 2013): 39–45. http://dx.doi.org/10.1016/s1005-8885(13)60067-9.

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25

Darsena, Donatella, Giacinto Gelli, Ivan Iudice, and Francesco Verde. "Separable MSE-Based Design of Two-Way Multiple-Relay Cooperative MIMO 5G Networks." Sensors 20, no. 21 (November 4, 2020): 6284. http://dx.doi.org/10.3390/s20216284.

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While the combination of multi-antenna and relaying techniques has been extensively studied for Long Term Evolution Advanced (LTE-A) and Internet of Things (IoT) applications, it is expected to still play an important role in 5th Generation (5G) networks. However, the expected benefits of these technologies cannot be achieved without a proper system design. In this paper, we consider the problem of jointly optimizing terminal precoders/decoders and relay forwarding matrices on the basis of the sum mean square error (MSE) criterion in multiple-input multiple-output (MIMO) two-way relay systems, where two multi-antenna nodes mutually exchange information via multi-antenna amplify-and-forward relays. This problem is nonconvex and a local optimal solution is typically found by using iterative algorithms based on alternating optimization. We show how the constrained minimization of the sum-MSE can be relaxed to obtain two separated subproblems which, under mild conditions, admit a closed-form solution. Compared to iterative approaches, the proposed design is more suited to be integrated in 5G networks, since it is computationally more convenient and its performance exhibits a better scaling in the number of relays.

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26

lazarus, L. K. Wiseling, P. Venka desh, and J. P. Ja yan. "Joint Power Allocation and Beam Forming for Energy-Efficient Multi-Way Multi-Antenna Relay Networks." International Journal of Computer Trends and Technology 60, no. 2 (June 25, 2018): 111–14. http://dx.doi.org/10.14445/22312803/ijctt-v60p117.

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27

Paek, Min-Jae, Yu-Jin Na, Won-Seok Lee, Jae-Hyun Ro, and Hyoung-Kyu Song. "A Novel Relay Selection Scheme Based on Q-Learning in Multi-Hop Wireless Networks." Applied Sciences 10, no. 15 (July 30, 2020): 5252. http://dx.doi.org/10.3390/app10155252.

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In wireless communication systems, reliability, low latency and power are essential in large scale multi-hop environment. Multi-hop based cooperative communication is an efficient way to achieve goals of wireless networks. This paper proposes a relay selection scheme for reliable transmission by selecting an optimal relay. The proposed scheme uses a signal-to-noise ratio (SNR) based Q-learning relay selection scheme to select an optimal relay in multi-hop transmission. Q-learning consists of an agent, environment, state, action and reward. When the learning is converged, the agent learns the optimal policy which is a rule of the actions that maximize the reward. In other words, the base station (BS) knows the optimal relay to select and transmit the signal. At this time, the cooperative communication scheme used in this paper is a decode-and-forward (DF) scheme in orthogonal frequency division multiplexing (OFDM) system. The Q-learning in the proposed scheme defines an environment to maximize a reward which is defined as SNR. After the learning process, the proposed scheme finds an optimal policy. Furthermore, this paper defines a reward which is based on the SNR. The simulation results show that the proposed scheme has the same bit error rate (BER) performance as the conventional relay selection scheme. However, this paper proposes an advantage of selecting fewer relays than conventional scheme when the target BER is satisfied. This can reduce the latency and the waste of resources. Therefore, the performance of the multi-hop transmission in wireless networks is enhanced.

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28

Chu, Mengjie, Runhe Qiu, and Xue-Qin Jiang. "Spectrum-Energy Efficiency Tradeoff in Decode-and-Forward Two-Way Multi-Relay Networks." IEEE Access 9 (2021): 16825–36. http://dx.doi.org/10.1109/access.2021.3053073.

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29

Guo, Kefeng, Kang An, Bangning Zhang, and Daoxing Guo. "Performance Analysis of Two-Way Satellite Multi-Terrestrial Relay Networks with Hardware Impairments." Sensors 18, no. 5 (May 15, 2018): 1574. http://dx.doi.org/10.3390/s18051574.

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30

Rahimian, Samira, Yindi Jing, and Masoud Ardakani. "Performance Analysis of Massive MIMO Multi-Way Relay Networks With Low-Resolution ADCs." IEEE Transactions on Wireless Communications 19, no. 9 (September 2020): 5794–806. http://dx.doi.org/10.1109/twc.2020.2997290.

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31

Choi, Won-Chul, and Dong-Jo Park. "Iterative Beamformer Design for Multi-Node MIMO Two-Way Relay Networks Using Duality." IEEE Transactions on Vehicular Technology 65, no. 8 (August 2016): 6742–47. http://dx.doi.org/10.1109/tvt.2015.2478846.

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32

Zhou, Zhikang, and Qi Zhu. "Time-Efficient Power Allocation Scheme for Two-Way Multi-relay Cognitive Radio Networks." Chinese Journal of Electronics 25, no. 2 (March 1, 2016): 357–63. http://dx.doi.org/10.1049/cje.2016.03.024.

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33

Jiang, Xue, Baoyu Zheng, Weiping Zhu, Lei Wang, and Xiaoyun Hou. "The average achievable rate of multi-antenna two-way relay networks with interference alignment." China Communications 17, no. 6 (June 2020): 121–30. http://dx.doi.org/10.23919/jcc.2020.06.010.

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34

Ho, Chung Duc, Hien Quoc Ngo, Michail Matthaiou, and Trung Q. Duong. "On the Performance of Zero-Forcing Processing in Multi-Way Massive MIMO Relay Networks." IEEE Communications Letters 21, no. 4 (April 2017): 849–52. http://dx.doi.org/10.1109/lcomm.2017.2648795.

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35

Sheikh, Alireza, and Ali Olfat. "Diversity achieving schemes for two-way multi-antenna relay networks in Nakagami-m fading." IET Communications 9, no. 13 (September 3, 2015): 1561–74. http://dx.doi.org/10.1049/iet-com.2014.0748.

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36

Zeng, Fanzi, Xiang Xiao, Zhu Xiao, Jingru Sun, Jing Bai, Vincent Havyarimana, and Hongbo Jiang. "Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks." IEEE Access 7 (2019): 157972–86. http://dx.doi.org/10.1109/access.2019.2950070.

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37

Zheng, Beixiong, Xiaodong Wang, Miaowen Wen, and Fangjiong Chen. "NOMA-Based Multi-Pair Two-Way Relay Networks With Rate Splitting and Group Decoding." IEEE Journal on Selected Areas in Communications 35, no. 10 (October 2017): 2328–41. http://dx.doi.org/10.1109/jsac.2017.2726008.

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38

Van, Hoang Thien, Vo Tien Anh, Danh Hong L., Chi Duong Thi Kim, and Hoang-Sy Nguyen. "Investigation of energy efficiency of two-way relay-assisted multi-band machine-to-machine communications." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (August 1, 2021): 863. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp863-870.

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In this paper, we improve the uplink energy efficiency (EE) of the multi-band machine-to-machine (M2M) communications underlaying cellular networks. In particular, based on the theory of stochastic geometry, we derive the closed-form expressions of the outage probability (OP), and the average energy efficiency of cellular and Machine-to-Machine users in two-way cooperative relaying networks with three-time-slot setting. We ensure the quality of service (QoS) by considering the OP and the average energy efficiency of all links. It is concluded that the three-time-slot relay-aided Machine-to-Machine communication can offer considerably high QoS and low transmission power for fairly distant machine-to-machine networks.

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39

Cao, Ruohan, Tiejun Lv, Hui Gao, Shaoshi Yang, and John M. Cioffi. "Achieving Full Diversity in Multi-Antenna Two-Way Relay Networks via Symbol-Based Physical-Layer Network Coding." IEEE Transactions on Wireless Communications 12, no. 7 (July 2013): 3445–57. http://dx.doi.org/10.1109/twc.2013.061413.121223.

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40

AliHemmati, Ruhallah, and Shahram Shahbazpanahi. "Sum-Rate Optimal Network Beamforming and Subcarrier Power Allocation for Multi-Carrier Asynchronous Two-Way Relay Networks." IEEE Transactions on Signal Processing 63, no. 15 (August 2015): 4129–43. http://dx.doi.org/10.1109/tsp.2015.2423265.

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41

Al-Hayani, Bilal, and Haci Ilhan. "Efficient cooperative image transmission in one-way multi-hop sensor network." International Journal of Electrical Engineering & Education 57, no. 4 (December 13, 2018): 321–39. http://dx.doi.org/10.1177/0020720918816009.

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The challenging task while transmitting the high-quality images over the wireless sensor networks is to achieve the higher throughput, minimum bit error rate without compromising the image quality. As the sensor nodes have the limited processing power, designing energy efficient image transmission is another challenge in this research. This paper proposed a novel method of cooperative image transformation from the transmitter to the receiver for wireless sensor networks. We designed the methods for multi-hop one-way relayed cooperative communication model for wireless sensor networks. We believe that the cooperative communication helps to improve the efficiency of image transmission. The proposed approach focused on efficient relayed image transmission through wireless channels with optimum image quality and bit error rate performances. First, lightweight image quality improvement method was proposed at both transmitter and receiver end as images captured under various illumination conditions. Second, the proposed compressive sensing was performed using the approximation coefficient of 2D discrete wavelet transform. We utilized the wavelet denoising advantage by presenting the hybrid thresholding function. And third, use of decode–forward method at relay nodes to perform the task of decode and forward received image data block. The compressed approximation component of 2D discrete wavelet Transform is further used to apply inverse fast Fourier transform and then in modulation using quadrature phase shift keying to transmit over additive white Gaussian noise channel to relay nodes as per the standard orthogonal frequency-division multiplexing model. The simulation results claim the performance efficiency against the state-of-art methods based on mean square error, peak signal-to-noise ratio, and bit error rate.

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42

TRAN, Gia Khanh, Rindranirina RAMAMONJISON, Kei SAKAGUCHI, and Kiyomichi ARAKI. "An Efficient Relay Placement Method with Power Allocation for MIMO Two-Way Multi-Hop Networks." IEICE Transactions on Communications E96.B, no. 5 (2013): 1176–86. http://dx.doi.org/10.1587/transcom.e96.b.1176.

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43

Erdogan, Eylem, Nihat Kabaoglu, Ali Afana, and Salama Ikki. "On the performance of cognitive two-way relay networks with multi-user scheduling and shadowing." Physical Communication 35 (August 2019): 100705. http://dx.doi.org/10.1016/j.phycom.2019.100705.

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44

Shu, Feng, Yu Chen, XiaoHu You, and JinHui Lu. "Low-complexity optimal spatial channel pairing for AF-based multi-pair two-way relay networks." Science China Information Sciences 57, no. 10 (September 6, 2014): 1–10. http://dx.doi.org/10.1007/s11432-014-5102-z.

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45

Lu, Yingzhi, and Zhaoxi Fang. "A closed-form sum-rate lower bound for amplify-and-forward multi-way relay networks." AEU - International Journal of Electronics and Communications 95 (October 2018): 1–4. http://dx.doi.org/10.1016/j.aeue.2018.07.032.

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46

WANG, Siye, Yanjun ZHANG, Bo ZHOU, Wenbiao ZHOU, and Dake LIU. "Comprehensive Performance Analysis of Two-Way Multi-Relay System with Amplify-and-Forward Relaying." IEICE Transactions on Communications E97.B, no. 3 (2014): 666–73. http://dx.doi.org/10.1587/transcom.e97.b.666.

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47

Francis Lin, Betene Anyugu. "Throughput Maximization for full-duplex two-way relay with finite buffers." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (November 1, 2020): 854. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp854-862.

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<div>Optimal queueing control of multi-hop networks remains a challenging problem, e</div><div>specially in two-way relaying systems, even in the most straightforward scenarios.</div><div>In this paper, we explore two-way relaying having a full-duplex decode-and-forward</div><div>relay with two fifinite buffers. Principally, we propose a novel concept based on the</div><div>multi-agent reinforcement learning (that maximizes the cumulative network through</div><div>put) based on the combination of the buffer states and the lossy links; a decision is</div><div>generated as to whether it can transmit, receive or even simultaneously receive and</div><div>transmit information. Towards this objective, chieflfly, based on the queue state transi</div><div>tion and the lossy links, an analytic Markov decision process is proposed to analyze</div><div>this scheme, and the throughput and queueing delay are derived. Our numerical results</div><div>reveal exciting insights. First, artifificial intelligence based on reinforcement learning</div><div>is optimal when the length of the buffer is superior to a certain threshold. Second, we</div><div>demonstrate that reinforcement learning can boost transmission effificiency and prevent</div><div>buffer overflflow.</div>

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48

Li, Quanzhong, Qi Zhang, and Jiayin Qin. "Beamforming in Non-Regenerative Two-Way Multi-Antenna Relay Networks for Simultaneous Wireless Information and Power Transfer." IEEE Transactions on Wireless Communications 13, no. 10 (October 2014): 5509–20. http://dx.doi.org/10.1109/twc.2014.2321763.

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49

Lertwiram, Namzilp, Gia Khanh Tran, Kei Sakaguchi, and Kiyomichi Araki. "An Efficient Relay Node Placement Scheme for Two-Way MIMO Multi-Hop Networks in Practical Indoor Environments." IEEE Transactions on Wireless Communications 12, no. 6 (June 2013): 2977–87. http://dx.doi.org/10.1109/twc.2013.040413.121423.

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50

Shu, Feng, YaZhe Lu, Yu Chen, XiaoHu You, JianXin Wang, Mao Wang, WeiXing Sheng, and Qian Chen. "High-sum-rate beamformers for multi-pair two-way relay networks with amplify-and-forward relaying strategy." Science China Information Sciences 57, no. 2 (February 2014): 1–11. http://dx.doi.org/10.1007/s11432-013-4980-9.

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