带有下行SWIPT的强干扰WPCN中用户最小速率最大化研究
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摘要
现有的无线供电通信网络(Wireless powered communication networks,WPCN)只考虑在下行链路中进行能量传输,没有考虑信息传输的需求。实际上,在很多应用场景中需要考虑利用下行链路传输信息。如何制定发送策略来权衡各用户上行传输速率的公平性与最大化是WPCN中的研究热点。本文提出一种新的在强干扰蜂窝小区中进行能量与信息传输的设计方案,将下行无线信息与能量的同时传输(Simultaneous wireless information and power transfer,SWIPT)与无线供电通信网络相结合,实现基站与用户之间的下行能量传输与上下行双向信息传输。该方案通过上行功率分配、下行时间分配与波束成形以实现上下行最小传输速率的最大化,从而实现各用户上下行信息传输的性能与公平性的平衡。仿真结果表明,与传统的传输方式相比,本方案显著提高用户的最小传输速率。
The existing Wireless Powered Communication Networks( WPCN) only considers energy transmission in downlink,without considering the need for information transfer. In fact,it is necessary to consider using the downlink to transmit information in many application scenarios. How to formulate the transfer strategy to weigh the fairness and maximization of the uplink transfer rate of each user is a research hotspot in WPCN. This paper proposed a new design scheme for energy and information transfer in a strong interfering cell,in which the Simultaneous Wireless Information and Power Transfer( SWIPT) was combined with the wireless power communication network to implement downlink energy transfer and uplink and downlink two-way information transfer between the base station and the user. In this scheme,uplink power allocation,downlink time allocation and beam-forming were used to maximize the minimum rates of both uplink and downlink,thereby achieving a balance between performance and fairness of uplink and downlink information transfer for all users. The simulation results show that compared with the traditional transmission method,this scheme significantly improves the minimum transfer rate of the users.
The existing Wireless Powered Communication Networks( WPCN) only considers energy transmission in downlink,without considering the need for information transfer. In fact,it is necessary to consider using the downlink to transmit information in many application scenarios. How to formulate the transfer strategy to weigh the fairness and maximization of the uplink transfer rate of each user is a research hotspot in WPCN. This paper proposed a new design scheme for energy and information transfer in a strong interfering cell,in which the Simultaneous Wireless Information and Power Transfer( SWIPT) was combined with the wireless power communication network to implement downlink energy transfer and uplink and downlink two-way information transfer between the base station and the user. In this scheme,uplink power allocation,downlink time allocation and beam-forming were used to maximize the minimum rates of both uplink and downlink,thereby achieving a balance between performance and fairness of uplink and downlink information transfer for all users. The simulation results show that compared with the traditional transmission method,this scheme significantly improves the minimum transfer rate of the users.
引文
[1]ULUKUS S,YENER A,ERKIP E,et al.Energy harvesting wireless communications:A review of recent advances[J].IEEE Journal on Selected Areas in Communications,2015,33(3):360-381.
[2]ZHANG R,HO C K.MIMO broadcasting for simultaneous wireless information and power transfer[J].IEEE Transactions on Wireless Communications,2013,12(5):1989-2001.
[3]ZHOU X,ZHANG R,HO C K.Wireless information and power transfer:Architecture design and rate-energy tradeoff[J].IEEE Transactions on Communications,2013,61(11):4754-4767.
[4]ZHOU X.Training-based SWIPT:Optimal power splitting at the receiver[J].IEEE Transactions on Vehicular Technology,2014,64(9):4377-4382.
[5]JU H,ZHANG R.Throughput maximization in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2013,13(1):418-428.
[6]LIU L,ZHANG R,CHUA K C.Wireless information and power transfer:A dynamic power splitting approach[J].IEEE Transactions on Communications,2013,61(9):3990-4001.
[7]LIU L,ZHANG R,CHUA K C.Wireless information transfer with opportunistic energy harvesting[J].IEEETransactions on Wireless Communications,2013,12(1):288-300.
[8]NG D W K,SCHOBER R.Spectral efficient optimization in OFDM systems with wireless information and power transfer[C]//European Signal Processing Conference(EUSIPCO).Marrakech,Morocco:IEEE,2013:1-5.
[9]NG D W K,LO E S,SCHOBER R.Energy-efficient power allocation in OFDM systems with wireless information and power transfer[C]//2013 IEEE International Conference on Communications(ICC).Budapest,Hungary:IEEE,2013.
[10]JU H,ZHANG R.Throughput maximization in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2013,13(1):418-428.
[11]WANG W,LI L,SUN Q,et al.Power allocation in multiuser MIMO systems for simultaneous wireless information and power transfer[C]//2013 IEEE 78th Vehicular Technology Conference(VTC Fall).Las Vegas,NV,USA:IEEE,2013:1-5.
[12]JU H,ZHANG R.Optimal resource allocation in full-duplex wireless-powered communication network[J].IEEETransactions on Communications,2014,62(10):3528-3540.
[13]ALEMAYEHU T S,KIM J H,YOON W.Full-duplex sistributed massive MIMO system with optimal beamforming and resource allocation for WPCN[J].Journal of Communications Technology and Electronics,2017,62(12):1383-1387.
[14]HUANG C,ZHANG R,CUI S.Throughput maximization for the gaussian relay channel with energy harvesting constraints[J].IEEE Journal on Selected Areas in Communications,2013,31(8):1469-1479.
[15]GURAKAN B,OZEL O,YANG J,et al.Energy cooperation in energy harvesting communications[J].IEEETransactions on Communications,2013,61(12):4884-4898.
[16]NASIR A A,ZHOU X,DURRANI S,et al.Relaying protocols for wireless energy harvesting and information processing[J].IEEE Transactions on Wireless Communications,2013,12(7):3622-3636.
[17]JU H,ZHANG R.User cooperation in wireless powered communication networks[C]//2014 IEEE Global Communications Conference.Austin,TX,USA:IEEE,2014:1430-1435.
[18]BI S,ZHANG R.Placement optimization of energy and information access points in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2016,15(3):2351-2364.
[19]CHEN H,XIAO L,YANG D,et al.User cooperation in wireless powered communication networks with a pricing mechanism[J].IEEE Access,2017,5:16895-16903.
[20]KIM N,LEE Y,PARK H.Performance analysis of MIMOsystem with linear MMSE receiver[J].IEEE Transactions on Wireless Communications,2008,7(11):4474-4478.
[21]LUO Z Q,MA W K,SO A M C,et al.Semidefinite relaxation of quadratic optimization problems[J].IEEE Signal Processing Magazine,2010,27(3):20-34.
[22]NISHIMOTO H,KAWAHARA Y,ASAMI T.Prototype implementation of ambient RF energy harvesting wireless sensor networks[J].Sensors,2010 IEEE.Kona,HI,USA:IEEE.
[2]ZHANG R,HO C K.MIMO broadcasting for simultaneous wireless information and power transfer[J].IEEE Transactions on Wireless Communications,2013,12(5):1989-2001.
[3]ZHOU X,ZHANG R,HO C K.Wireless information and power transfer:Architecture design and rate-energy tradeoff[J].IEEE Transactions on Communications,2013,61(11):4754-4767.
[4]ZHOU X.Training-based SWIPT:Optimal power splitting at the receiver[J].IEEE Transactions on Vehicular Technology,2014,64(9):4377-4382.
[5]JU H,ZHANG R.Throughput maximization in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2013,13(1):418-428.
[6]LIU L,ZHANG R,CHUA K C.Wireless information and power transfer:A dynamic power splitting approach[J].IEEE Transactions on Communications,2013,61(9):3990-4001.
[7]LIU L,ZHANG R,CHUA K C.Wireless information transfer with opportunistic energy harvesting[J].IEEETransactions on Wireless Communications,2013,12(1):288-300.
[8]NG D W K,SCHOBER R.Spectral efficient optimization in OFDM systems with wireless information and power transfer[C]//European Signal Processing Conference(EUSIPCO).Marrakech,Morocco:IEEE,2013:1-5.
[9]NG D W K,LO E S,SCHOBER R.Energy-efficient power allocation in OFDM systems with wireless information and power transfer[C]//2013 IEEE International Conference on Communications(ICC).Budapest,Hungary:IEEE,2013.
[10]JU H,ZHANG R.Throughput maximization in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2013,13(1):418-428.
[11]WANG W,LI L,SUN Q,et al.Power allocation in multiuser MIMO systems for simultaneous wireless information and power transfer[C]//2013 IEEE 78th Vehicular Technology Conference(VTC Fall).Las Vegas,NV,USA:IEEE,2013:1-5.
[12]JU H,ZHANG R.Optimal resource allocation in full-duplex wireless-powered communication network[J].IEEETransactions on Communications,2014,62(10):3528-3540.
[13]ALEMAYEHU T S,KIM J H,YOON W.Full-duplex sistributed massive MIMO system with optimal beamforming and resource allocation for WPCN[J].Journal of Communications Technology and Electronics,2017,62(12):1383-1387.
[14]HUANG C,ZHANG R,CUI S.Throughput maximization for the gaussian relay channel with energy harvesting constraints[J].IEEE Journal on Selected Areas in Communications,2013,31(8):1469-1479.
[15]GURAKAN B,OZEL O,YANG J,et al.Energy cooperation in energy harvesting communications[J].IEEETransactions on Communications,2013,61(12):4884-4898.
[16]NASIR A A,ZHOU X,DURRANI S,et al.Relaying protocols for wireless energy harvesting and information processing[J].IEEE Transactions on Wireless Communications,2013,12(7):3622-3636.
[17]JU H,ZHANG R.User cooperation in wireless powered communication networks[C]//2014 IEEE Global Communications Conference.Austin,TX,USA:IEEE,2014:1430-1435.
[18]BI S,ZHANG R.Placement optimization of energy and information access points in wireless powered communication networks[J].IEEE Transactions on Wireless Communications,2016,15(3):2351-2364.
[19]CHEN H,XIAO L,YANG D,et al.User cooperation in wireless powered communication networks with a pricing mechanism[J].IEEE Access,2017,5:16895-16903.
[20]KIM N,LEE Y,PARK H.Performance analysis of MIMOsystem with linear MMSE receiver[J].IEEE Transactions on Wireless Communications,2008,7(11):4474-4478.
[21]LUO Z Q,MA W K,SO A M C,et al.Semidefinite relaxation of quadratic optimization problems[J].IEEE Signal Processing Magazine,2010,27(3):20-34.
[22]NISHIMOTO H,KAWAHARA Y,ASAMI T.Prototype implementation of ambient RF energy harvesting wireless sensor networks[J].Sensors,2010 IEEE.Kona,HI,USA:IEEE.