大规模MIMO系统基于干扰更新的能效优化算法
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摘要
针对单小区大规模多输入多输出系统,提出一种通过联合调整发射功率和基站天线数从而实现能效最大化的资源分配算法。首先,针对采用最大比合并接收的系统,在保证用户最低数据速率的基础上,对每个用户的发射功率进行限制;然后,在迭代过程中,基于Dinkelbach算法,根据发射功率的分配情况,采用动态更新干扰项来代替已有研究中的干扰项常数化方案。仿真结果表明,该算法在较少迭代次数的同时较大幅度提高了系统的能效性能,提升了系统的吞吐量,并且有效降低了发射功率消耗。
For the single-cell massive multiple-input multiple-output(MIMO) systems, a resource allocation algorithm is proposed to maximize the energy efficiency(EE) by jointly optimizing the transmit power and the number of antennas in base station(BS). With maximum-ratio combing(MRC) receiver, the proposed algorithm limits the transmit power of each user on the basis of ensuring the lowest data rate of the user. In the iterative process, the proposed algorithm dynamically updates interference based on the Dinkelbach algorithm, instead of the constant interference appeared in prevailing literatures. Simulation results verify that the proposed algorithm greatly improves the energy efficiency and capacity of the system with a few iterations and effectively reduces the transmit power consumption.
For the single-cell massive multiple-input multiple-output(MIMO) systems, a resource allocation algorithm is proposed to maximize the energy efficiency(EE) by jointly optimizing the transmit power and the number of antennas in base station(BS). With maximum-ratio combing(MRC) receiver, the proposed algorithm limits the transmit power of each user on the basis of ensuring the lowest data rate of the user. In the iterative process, the proposed algorithm dynamically updates interference based on the Dinkelbach algorithm, instead of the constant interference appeared in prevailing literatures. Simulation results verify that the proposed algorithm greatly improves the energy efficiency and capacity of the system with a few iterations and effectively reduces the transmit power consumption.
引文
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[5]ZHAO L,LI K,ZHENG K,et al.An analysis of the tradeoff between the energy and spectrum efficiencies in an uplink massive MIMO-OFDM system[J].IEEE Transactions on Circuits and Systems II:Express Briefs,2015,62(3):291-295.
[6]NGO H Q,LARSSON E G,MARZETTA T L.Energy and spectral efficiency of very large multiuser MIMOsystems[J].IEEE Transactions on Communications,2013,61(4):1436-1449.
[7]ZHANG J,JIANG Y,LI P,et al.Energy efficient power allocation in massive MIMO systems based on standard interference function[C]//Vehicular Technology Conference.IEEE,2016:1-6.
[8]胡莹,黄永明,俞菲,等.多用户大规模MIMO系统能效资源分配算法[J].电子与信息学报,2015,37(9):2198-2203.
[9]DINKELBACH W.On nonlinear fractional programming[J].Management Science,1967,13(7):492-498.
[10]TULINO A M,VERDU'S.Random matrix theory and wireless communications[J].Foundations and Trends in Communications and Information Theory,2004,1(1):1-182.
[11]CUI S,GOLDSMITH A J,BAHAI A.Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks[J].IEEE Journal on Selected Areas in Communications,2004,22(6):1089-1098.
[12]TAN C W,CHIANG M,SRIKANT R.Fast algorithms and performance bounds for sum rate maximization in wireless networks[C]//Infocom.IEEE,2009:1350-1358.
[2]SHINJO S,NAKATANI K,KAMIOKA J,et al.Highly integrated RF frontend module for high SHF wide-band massive MIMO in 5G,and switching-mode amplifiers beyond 4G[C]//International Symposium on Vlsi Design,Automation and Test.IEEE,2017:1-4.
[3]BJRNSON E,SANGUINETTI L,HOYDIS J,et al.Optimal design of energy-efficient multi-user MIMOsystems:is massive MIMO the answer?[J].IEEE Transactions on Wireless Communications,2015,14(6):3059-3075.
[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]ZHAO L,LI K,ZHENG K,et al.An analysis of the tradeoff between the energy and spectrum efficiencies in an uplink massive MIMO-OFDM system[J].IEEE Transactions on Circuits and Systems II:Express Briefs,2015,62(3):291-295.
[6]NGO H Q,LARSSON E G,MARZETTA T L.Energy and spectral efficiency of very large multiuser MIMOsystems[J].IEEE Transactions on Communications,2013,61(4):1436-1449.
[7]ZHANG J,JIANG Y,LI P,et al.Energy efficient power allocation in massive MIMO systems based on standard interference function[C]//Vehicular Technology Conference.IEEE,2016:1-6.
[8]胡莹,黄永明,俞菲,等.多用户大规模MIMO系统能效资源分配算法[J].电子与信息学报,2015,37(9):2198-2203.
[9]DINKELBACH W.On nonlinear fractional programming[J].Management Science,1967,13(7):492-498.
[10]TULINO A M,VERDU'S.Random matrix theory and wireless communications[J].Foundations and Trends in Communications and Information Theory,2004,1(1):1-182.
[11]CUI S,GOLDSMITH A J,BAHAI A.Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks[J].IEEE Journal on Selected Areas in Communications,2004,22(6):1089-1098.
[12]TAN C W,CHIANG M,SRIKANT R.Fast algorithms and performance bounds for sum rate maximization in wireless networks[C]//Infocom.IEEE,2009:1350-1358.