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International Journal of Sensors, Wireless Communications and Control

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ISSN (Print): 2210-3279
ISSN (Online): 2210-3287

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Research Article

Sum-Rate Optimization Constrained by Consumed Power for Multi- Antenna Non-Regenerative Relay Network

Author(s): Maryam Alibeigi and Shahriar S. Moghaddam*

Volume 10, Issue 2, 2020

Page: [143 - 152] Pages: 10

DOI: 10.2174/2210327909666190219125535

Price: $65

Abstract

Background & Objective: This paper considers a multi-pair wireless network, which communicates peer-to-peer using some multi-antenna amplify-and-forward relays. Maximizing the throughput supposing that the total relay nodes’ power consumption is constrained, is the main objective of this investigation. We prove that finding the beamforming matrix is not a convex problem.

Methods: Therefore, by using a semidefinite relaxation technique we find a semidefinite programming problem. Moreover, we propose a novel algorithm for maximizing the total signal to the total leakage ratio. Numerical analyses show the effectiveness of the proposed algorithm which offers higher throughput compared to the existing total leakage minimization algorithm, with much less complexity.

Results and Conclusion: Furthermore, the effect of different parameters such as, the number of relays, the number of antennas in each relay, the number of transmitter/receiver pairs and uplink and downlink channel gains are investigated.

Keywords: Convex problem, MIMO, non-regenerative, optimization, power consumption, power control, relay network, sum-rate.

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[1]
Zhang C, Gao W, Hu H, Zhang G, Yu L. Basic research of massive MIMO channel estimation. Recent Pat Comput Sci 2016; 9: 1-8.
[2]
Gupta A, Kumar Jha R, Devi R. Security architecture of 5G wireless communication network. Int J Sensors Wirel Commun Control 2018; 8(2): 92-9.
[http://dx.doi.org/10.2174/2210327908666180514105607]
[3]
Jing Y, Jafarkhani H. Network beamforming using relays with perfect channel information. Proceedings of the IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP) Honolulu, USA. 2007.
[http://dx.doi.org/10.1109/ICASSP.2007.366575]
[4]
Khajehnouri N, Sayed AH. Distributed MMSE relay strategies for wireless sensor networks. IEEE Trans Signal Process 2007; 55(7): 3336-48.
[http://dx.doi.org/10.1109/TSP.2007.894410]
[5]
Laneman JN, Tse DNC, Wornell GW. Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Trans Inf Theory 2004; 50(12): 3062-80.
[http://dx.doi.org/10.1109/TIT.2004.838089]
[6]
Iwamura M, Takahashi H, Nagata S. Relay technology in LTE-Advanced. NTT Docomo Tech J 2010; 2: 29-36.
[7]
Maadi S, Hamdi N. Joint power allocation and beamforming for cooperative networks. Int J Commun Netw Syst Sci 2011; 4: 447-51.
[http://dx.doi.org/10.4236/ijcns.2011.47053]
[8]
Havary-Nassab V, Shahbazpanahi S, Grami A. Joint receive-transmit beamforming for multi-antenna relaying schemes. IEEE Trans Signal Process 2010; 58(9): 4966-72.
[http://dx.doi.org/10.1109/TSP.2010.2051431]
[9]
Rezvani SM, Safavi SH, Sadeghzadeh RA, Haghbin A, Davarpanah R. Relay power minimization approach based on general-rank beam forming for multi-antenna relaying schemes. Proceedings of the 5th IEEE International Conference on New Technologies, Mobility and Security (NTMS) Istanbul, Turkey. 2012.
[http://dx.doi.org/10.1109/NTMS.2012.6208772]
[10]
Khandaker MRA, Rong Y. Interference MIMO relay channel: Joint power control and transceiver-relay beamforming. IEEE Trans Signal Process 2012; 60(12): 6509-17.
[http://dx.doi.org/10.1109/TSP.2012.2217135]
[11]
Fazeli-Dehkordy S, Shahbazpanahi S, Gazor S. Multiple peer-to-peer communications using a network of relays. IEEE Trans Signal Process 2009; 57(8): 3053-62.
[http://dx.doi.org/10.1109/TSP.2009.2020002]
[12]
Truong KT, Sartori P, Heath RW. Cooperative algorithms for MIMO amplify-and-forward relay networks. IEEE Trans Signal Process 2013; 61(5): 1272-87.
[http://dx.doi.org/10.1109/TSP.2012.2236832]
[13]
Toding A, Khandaker MRA, Rong Y. Joint source and relay optimization for parallel MIMO relay networks. EURASIP J Adv Signal Process 2012; 2012: 174.
[http://dx.doi.org/10.1186/1687-6180-2012-174]
[14]
Liu J, Shroff NB, Sherali HD. Optimal power allocation in multi-relay MIMO cooperative networks: Theory and algorithms. IEEE J Sel Areas Comm 2012; 30(2): 331-40.
[http://dx.doi.org/10.1109/JSAC.2012.120212]
[15]
Sun C, Jorswieck E. Low complexity sum-rate maximization for single and multiple stream MIMO AF relay networks. online available, arXiv: 12115884 accessed 5 August 2015
[16]
Shirvani MS, Alibeigi M. SNR maximization based on joint power control and beamforming for AF relay network. J Mobile Comput 2014; 3: 13-7.
[17]
Shirvani MS, Alibeigi M. Sum rate maximization based on joint power control and beamforming in MIMO one way AF relay networks. Br J Appl Sci Technol 2015; 5(3): 285-96.
[http://dx.doi.org/10.9734/BJAST/2015/13115]
[18]
Shirvani MS, Alibeigi M. Joint power control and beam forming in MIMO relays. Int J Comput Mathemat Elect Electron Eng 2016; 35(1): 102-16.
[http://dx.doi.org/10.1108/COMPEL-11-2014-0309]
[19]
Alibeigi M, Shirvani MS. Sum-rate maximization based on power constraints for cooperative AF relay networks. J Commun Eng 2017; 6(1): 1-25.
[20]
Havary-Nassab V, Shahbazpanahi S, Grami A, Luo ZQ. Distributed beamforming for relay networks based on second-order statistics of the channel state information. IEEE Trans Signal Process 2008; 56(9): 4306-16.
[http://dx.doi.org/10.1109/TSP.2008.925945]
[21]
Chalise BK, Vandendorpe L. Optimization of MIMO relays for multipoint-to-multipoint communications: Nonrobust and robust designs. IEEE Trans Signal Process 2010; 58(12): 6355-68.
[http://dx.doi.org/10.1109/TSP.2010.2077632]
[22]
Horn RA, Johnson CR. Topics in Matrix Analysis. UK: Cambridge University Press 1991.
[http://dx.doi.org/10.1017/CBO9780511840371]
[23]
Grant M, Boyd S. CVX: MATLAB software for disciplined convex programming online available: http://cvxr.com/cvx (accessed 5 August 2015).
[24]
Huang Y, Zhang S. Complex matrix decomposition and quadratic programming. Math Oper Res 2007; 32: 758-68.
[http://dx.doi.org/10.1287/moor.1070.0268]
[25]
Ma WK, Davidson TK, Wong KM, Luo ZQ, Ching PC. Quasi-maximum-likelihood multiuser detection using semi-definite relaxation with application to synchronous CDMA. IEEE Trans Signal Process 2002; 50(4): 912-22.
[http://dx.doi.org/10.1109/78.992139]
[26]
Sidiropoulos ND, Davidson TN, Luo ZQ. Transmit beam forming for physical-layer multicasting. IEEE Trans Signal Process 2006; 54(6): 2239-51.
[http://dx.doi.org/10.1109/TSP.2006.872578]
[27]
Zhang S. Quadratic maximization and semi definite relaxation. Math Program 2000; 87: 453-65.
[http://dx.doi.org/10.1007/s101070050006]
[28]
Shirvani MS. Outage analysis of energy harvested direct/relay-aided device-to-device communications in Nakagami channel. J Commun Software Syst 2018; 14(4): 302-11.
[http://dx.doi.org/10.24138/jcomss.v14i4.490]
[29]
Shirvani MS, Ghavami H. Joint mode selection and resource allocation in device-to-device communications. Int J Sensors Wirel Commun Control 2018; 8(3): 204-16.
[http://dx.doi.org/10.2174/2210327908666180808115057]
[30]
Shirvani MS. Outage analysis of non-orthogonal in-band relay-aided device-to-device communications in Rayleigh fading channels. Internet Technology Letters 2018; 1(2): 1-7.
[http://dx.doi.org/10.1002/itl2.8]
[31]
Habibzadeh A, Shirvani MS, Razavizadeh SM, Shirvanimoghaddam M. Modeling and analysis of traffic-aware spectrum handover schemes in cognitive HetNets. Trans Emerg Telecommun Technol 2017; 28(12): 1-21.
[http://dx.doi.org/10.1002/ett.3199]

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