基于信息能量同传的异构小蜂窝网络能效优化
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摘要
研究无线信息和能量协同传输(SWIPT)异构小蜂窝网络的能效优化问题。在保证小蜂窝用户和宏用户通信质量、小蜂窝用户能量采集和小蜂窝基站传输功率等约束下,为实现小蜂窝系统下行能效的最大化,对小蜂窝基站发射功率和小蜂窝用户端功率分流系数进行联合优化。该问题属于非凸优化问题,通过变量替换对原问题进行等价转换,然后采用基于拉格朗日乘子的次梯度算法求解。计算机仿真结果表明,该联合优化算法简单有效。
This paper researched the energy efficiency optimization of simultaneous wireless information and power transfer( SWIPT) in heterogeneous small cellular networks. In order to maximize the energy efficiency of the downlink cellular system,it jointly optimized the splitting ratio of transmit beamforming vector and receive power under both small cellular users' communication quality and the collected energy,and the transmission power of the small cell base station constraints. The problem belonged to the nonconvex optimization problem,which transformed the equivalent problem by the variable substitution,and then used the subgradient iteration algorithm based on the Lagrange multiplier to solve the problem. The results of computer simulation show that the joint optimization algorithm is simple and effective.
This paper researched the energy efficiency optimization of simultaneous wireless information and power transfer( SWIPT) in heterogeneous small cellular networks. In order to maximize the energy efficiency of the downlink cellular system,it jointly optimized the splitting ratio of transmit beamforming vector and receive power under both small cellular users' communication quality and the collected energy,and the transmission power of the small cell base station constraints. The problem belonged to the nonconvex optimization problem,which transformed the equivalent problem by the variable substitution,and then used the subgradient iteration algorithm based on the Lagrange multiplier to solve the problem. The results of computer simulation show that the joint optimization algorithm is simple and effective.
引文
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[11] Hinton K,Jalali F. A survey of Internet energy efficiency metrics[C]//Proc of the 5th International Conference on Smart Cities and Green ICT Systems. Piscataway,NJ:IEEE Press,2016:1-9.
[12]Dinkelbach W. On nonlinear fractional programming[J]. Management Science,1967,13(7):492-498.
[13]Larsson E G,Danev D,Olofsson M. Teaching the principles of massive MIMO:exploring reciprocity-based multiuser MIMO beamforming using acoustic waves[J]. IEEE Signal Processing Magazine,2017,34(1):40-47.
[14]Valls V,Leith D J. Dual subgradient methods using approximate multipliers[C]//Proc of the 53rd Annual Allerton Conference on Communication,Control,and Computing. Piscataway,NJ:IEEE Press,2015:1016-1021.
[15]Cai Yunlong,Zhao Mingmin,Shi Qingjiang,et al. Joint transceiver design algorithms for multiuser MISO relay systems with energy harvesting[J]. IEEE Trans on Communications,2016,64(10):4147-4164.
[16]Peng Cheng,Shi Qingjiang,Xu Weiqiang,et al. Energy efficiency optimization for multi-user MISO SWIPT systems[C]//Proc of IEEE China Summit and International Conference on Signal and Information Processing. Piscataway,NJ:IEEE Press,2015:772-776.
[2]宋要飞,徐位凯,王琳.基于功率分配器的大规模信息能量同传系统吞吐率优化[J].厦门大学学报:自然科学版,2017,56(2):271-277.(Song Yaofei,Xu Weikai,Wang Lin. Throughput optimization for large-scale simultaneous wireless-information and power transfer systems with power splitting receiver[J]. Journal of Xiamen University:Natural Science Edition,2017,56(2):271-277.)
[3] Lu Xiao,Wang Ping,Niyato D,et al. Wireless networks with RF energy harvesting:a contemporary survey[J]. IEEE Communications Surveys&Tutorials,2015,17(2):757-789.
[4] Pan Gaofeng,Lei Hongjiang,Yuan Yi,et al. Performance analysis and optimization for SWIPT wireless sensor networks[J]. IEEE Trans on Communications,2017,65(5):2291-2302.
[5] Zhao Mingmin,Cai Yunlong,Shi Qingjiang,et al. Robust transceiver design for MISO interference channel with energy harvesting[J].IEEE Trans on Signal Processing,2016,64(17):4618-4633.
[6] Boshkovska E,Morsi R,Ng D W K,et al. Power allocation and scheduling for SWIPT systems with non-linear energy harvesting model[C]//Proc of IEEE International Conference on Communications. Piscataway,NJ:IEEE Press,2016:1-6.
[7] Ng D W K,Schober R. Resource allocation for secure communication in systems with wireless information and power transfer[C]//Proc of IEEE Globecom Workshops. Piscataway,NJ:IEEE Press,2013:1251-1257.
[8] Lohani S,Hossain E,Bhargava V K. On downlink resource allocation for SWIPT in small cells in a two-tier Het Net[J]. IEEE Trans on Wireless Communications,2016,15(11):7709-7724.
[9] Sheng Min,Wang Liang,Wang Xijun,et al. Energy efficient beamforming in MISO heterogeneous cellular networks with wireless information and power transfer[J]. IEEE Journal on Selected Areas in Communications,2016,34(4):954-968.
[10]Ng D W K,Schober R. Secure and green SWIPT in distributed antenna networks with limited backhaul capacity[J]. IEEE Trans on Wireless Communications,2015,14(9):5082-5097.
[11] Hinton K,Jalali F. A survey of Internet energy efficiency metrics[C]//Proc of the 5th International Conference on Smart Cities and Green ICT Systems. Piscataway,NJ:IEEE Press,2016:1-9.
[12]Dinkelbach W. On nonlinear fractional programming[J]. Management Science,1967,13(7):492-498.
[13]Larsson E G,Danev D,Olofsson M. Teaching the principles of massive MIMO:exploring reciprocity-based multiuser MIMO beamforming using acoustic waves[J]. IEEE Signal Processing Magazine,2017,34(1):40-47.
[14]Valls V,Leith D J. Dual subgradient methods using approximate multipliers[C]//Proc of the 53rd Annual Allerton Conference on Communication,Control,and Computing. Piscataway,NJ:IEEE Press,2015:1016-1021.
[15]Cai Yunlong,Zhao Mingmin,Shi Qingjiang,et al. Joint transceiver design algorithms for multiuser MISO relay systems with energy harvesting[J]. IEEE Trans on Communications,2016,64(10):4147-4164.
[16]Peng Cheng,Shi Qingjiang,Xu Weiqiang,et al. Energy efficiency optimization for multi-user MISO SWIPT systems[C]//Proc of IEEE China Summit and International Conference on Signal and Information Processing. Piscataway,NJ:IEEE Press,2015:772-776.