Energy-efficient Resource Allocation Based on Multi-user Massive MIMO System
Hu Ying①② Huang Yong-ming① Yu Fei① Yang Lu-xi①
①(School of Information Science and Engineering, Southeast University, Nanjing 210096, China) ②(Institute of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China)
An energy-efficient resource allocation scheme is proposed for multi-user massive MIMO mobile communication uplink system. A mathematical formulation of optimization issue is provided with the objective of maximizing system energy efficiency lower bound under the data rate of user and tolerable interference level constraint, meanwhile the Base Station (BS) uses a Maximum-Ratio Combining (MRC) receiver. By transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, then convex optimization is adopted to maximize the energy efficiency. Specifically, both the numbers of antenna arrays at the BS and the transmit data rate at the user are adjusted. Simulation results show that the energy-efficiency difference between the proposed algorithm and the exhaustive algorithm is less than 9%, at the same time, the performance of spectral-efficiency of the proposed algorithm is very well and the complexity is significantly reduced.
Zhong Chong-xian and Yang Lu-xi. Dynamic resource allocation for downlink multiuser MIMO-OFDMA/SDMA systems[J]. Journal of Electronics & Information Technology, 2008, 30(12): 2972-2975.
[2]
Huang Y, Zheng G, Bengtsson M, et al.. Distributed multicell beamforming design with limited intercell coordination[J]. IEEE Transactions on Signal Processing, 2011, 59(2): 728-738.
[3]
He S W, Huang Y M, Yang L X, et al.. A multi-cell beamforming design by uplink-downlink max-min SINR duality[J]. IEEE Transactions on Wireless Communications, 2012, 11(8): 2858-2867.
Hu Ying, Huang Yong-ming, Yu Fei, et al.. Energy-efficient optimization based user schedule and resource allocation algorithm[J]. Journal of Electronics & Information Technology, 2012, 34(8): 1950-1955.
[6]
Zheng Z G, Dan L L, Gong S D, et al.. Energy-efficient resource allocation for downlink OFDMA systems[C]. IEEE International Conference on Communications (ICC), Budapest, Hungary, 2013: 391-395.
[7]
Zhang G P, Liu P, and Ding E J. Energy efficient resource allocation in non-cooperative multi-cell OFDMA systems[J]. Journal of Systems Engineering and Electronics, 2011, 22(1): 175-182.
[8]
Ho C Y and Huang C Y. Single-and multi-user uplink energy- efficient resource allocation algorithms with users’ power and minimum rate constraint in OFDMA cellular networks[J]. Wireless Networks, 2013, 19(5): 673-688.
[9]
Zarakovitis C C and Ni Q. Energy-efficient design for communication systems: resolutions on inverse resource allocation principles[J]. IEEE Communications Letters, 2013, 17(12): 2264-2267.
[10]
Shi Q J, Xu W Q, Li D P, et al.. On the energy-efficient optimality of OFDMA for SISO-OFDM downlink system[J] . IEEE Communications Letters, 2013, 17(3): 541-544.
[11]
Hu Y, Ji B F, Huang Y M, et al.. Energy-efficient resource allocation of very large multi-user MIMO systems[J]. Wireless Networks, 2014, 20(6): 1421-1430.
[12]
Miao G W. Energy-efficient uplink multi-user MIMO[J]. IEEE Transactions on Wireless Communications, 2013, 12(5): 2302-2313.
[13]
Ngo H Q, Larsson E G, and Marzetta T L. Energy and spectral efficiency of very large multiuser MIMO systems[J]. IEEE Transactions on Communications, 2013, 61(4): 1436-1449.
[14]
Ng D W K, Lo E S, and Schober R. Energy-efficient resource allocation for secure OFDMA systems[J]. IEEE Transactions on Vehicle Technology, 2012, 61(6): 2572-2585.
[15]
Ng D W K, Lo E S, and 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.
[16]
Li G Y, Xu Z K, Xiong C, et al.. Energy-efficient wireless communications: tutorial, survey, and open issues[J]. IEEE Wireless Communications, 2011, 18(6): 28-35.
[17]
Cui S G, Goldsmith A J, and Bahai A. Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks[J]. IEEE Journal on Selected Areas in Communications, 2004, 22(6): 1086-1098.
[18]
Report of the Spectrum Efficiency Working[R]. FCC Spectrum Policy Task Force, 2002.
[19]
Dinkelbach W. On nonlinear fractional programming[J]. Management Science, 1967, 13(7): 492-498.
Hu Ying, Ji Bao-feng, Huang Yong-ming, et al.. Energy- efficient optimimal algorithm based uplink multi-user very large MIMO system[J]. Journal of Communications, 2015, 36(1): 69-76.