JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2016, Vol. 51 ›› Issue (7): 115-120.doi: 10.6040/j.issn.1671-9352.0.2015.491

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Research on beamforming design for multi-user full-duplex SWIPT systems

WANG Zhi1,2, CHEN Dong-hua1,2, HE Yu-cheng1,2   

  1. 1. College of Information Science and Engineering, National Huaqiao University, Xiamen 361021, Fujian, China;
    2. Xiamen Key Laboratory of Mobile Multimedia Communications, Xiamen 361021, Fujian, China
  • Received:2015-10-16 Online:2016-07-20 Published:2016-07-27

Abstract: A joint optimization scheme based on the dual goals which are the minimization of the power consumption and the maximization of the energy harvest was proposed for the multi-user full-duplex(FD)cellular communication system. The proposed scheme used zero-forcing algorithm to eliminate multi-user interference in the uplinks, in order to achieve the effective transfer of information and energy, the full-duplex base station provided users with communication services via information beamforming and energy beamforming in the downlinks. The proposed scheme made a simultaneous improvement in power efficiency and spectrum efficiency while guaranteeing the quality-of-service(Qos)of all users and power constraints. Because the problem of power is non-convex, the original problem was transformed to a convex one via semi-definite relaxation. Simulation results show that the proposed scheme provides substantial power savings over traditional scheme. Moreover, FD base station transfers energy to the downlink users through energy beamforming, which improves power efficiency of the system effectively.

Key words: full-duplex, power consuming, beamforming, convex optimization, energy harvest, semi-definite relaxation

CLC Number: 

  • TN929
[1] NG D W K, SCHOBER R, ALNUWEIRI H. Power efficient MISO beamforming for secure layered transmission[C] //Proceedings of IEEE Wireless Communications and Networking Conference(WCNC). Piscataway: IEEE, 2014: 422-427.
[2] SCHUBERT M, BOCHE H. Iterative multiuser uplink and downlink beam forming under SINR constraints[J]. IEEE Transactions on Signal Processing, 2005, 53(7): 2324-2334.
[3] LAU A P T, CUI S. Joint power minimization in wireless relay channels [J]. IEEE Transactions on Wireless Communications, 2007, 6(8): 2820-2824.
[4] NG D W K, LO E S, SCHOBER R. Energy-efficient resource allocation in ofdma systems with large numbers of base station antennas [J]. IEEE Transactions on Wireless Communications, 2012, 11(9): 3292-3304.
[5] NG D W K, LO E S, SCHOBER R. Dynamic resource allocation in MIMO-OFDMA systems with full-duplex and hybrid relaying[J]. IEEE Transactions on Communications, 2012, 60(5):1291-1304.
[6] NGUYEN D, TRAN L N, PIRINEN P, et al. On the spectral efficiency of full-duplex small cell wireless systems[J]. IEEE Transactions on Wireless Communications, 2014, 13(9):4896-4910.
[7] NGO H Q, SURAWEERA H A, MATTHAIOU M, et al. Multipair full-duplex relaying with massive arrays and linear processing [J]. IEEE Journal on Selected Areas in Communications, 2014, 32(9):1721-1737.
[8] LI S, MURCH R D, LAU V K N. Linear transceiver design for full-duplex multi-user MIMO system[C] //Proceedings of 2014 IEEE International Conference on Communications(ICC). Piscataway: IEEE, 2014: 4921-4926.
[9] JU H, ZHANG R. Optimal resource allocation in full-duplex wireless-powered communication network [J]. IEEE Transactions on Communications, 2014, 62(10): 3528-3540.
[10] DUARTE M, DICK C, SABHARWAL A. Experiment-driven characterization of full-duplex wireless systems [J]. Wireless IEEE Transactions on Communications, 2012, 11(12): 4296-4307.
[11] RODRIGUEZ L J, TRAN N H, LE-NGOC T. Performance of full-duplex af relaying in the presence of residual self-interference[J]. IEEE Journal on Selected Areas in Communications, 2014, 32(9):1752-1764.
[12] YANG Jingrui, LIU Xuefang, YANG Qinghai. Power allocation of two-way full-duplex AF relay under residual self-interference[C] //Proceedings of the 14th International Symposium on Communications and Information Technologies(ISCIT). Piscataway: IEEE, 2014:213-217.
[13] WANG Qiang, DONG Yue, XU Xiaodong, et al. Outage probability of full-duplex af relaying with processing delay and residual self-interference[J]. IEEE Communications Letters, 2015, 19(5): 783-786.
[14] LUO Z Q, MA W K, SO M C, et al. Semidefinite relaxation of quadratic optimization problems[J]. Signal Processing Magazine IEEE, 2010, 27(3): 20-34.
[15] 罗晓梅, 吴毅强, 李迟生,等. 利用凸优化进行多用户OFDM通信系统的简化设计[J]. 南昌大学学报(理科版), 2008, 32(6):586-591. LUO Xiaomei, WU Yiqiang, LI Chisheng, et al. Simplified transceiver design for multi-user OFDM communication system using convex optimization[J]. Journal of Nanchang University(Natural Science), 2008, 32(6): 586-591.
[16] BOYD S, VANDENBERGHE L. Convex optimazation[M]. United Kingdom: Cambrige University, 2004.
[17] YE Y. Interior-point algorithm: theory and analysis[M]. New York: John Wiley and Sons, 1997.
[18] GRANT M, BOYD S. CVX: Matlab software for disciplined convex programming, version 1.21[EB/OL]. [2015-06-25]. http://cvxr.com/cvx/.
[19] LIM D, CHOI K, LIU H. Optimum power allocation for distributed antenna systems with large-scale fading-only feedback[C] //Proceedings of the 6th International Conference on Information Technology: New Generations. Piscataway: IEEE, 2009: 1158-1164.
[20] SUN Y, NG D W K. Multi-objective optimization for power efficient full-duplex wireless communication systems[C] //Proceedings of the 2015 IEEE Global Communications Conference(GLOBECOM). Piscataway: IEEE, 2015:1-6.
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