基于终端电池状态信息的SWIPT公平传输策略

doi:10.11959/j.issn.1000-436x.2020089

Abstract

Abstract:

To solve the battery depletion problem,the terminals’ battery status information (BSI) was proposed to be taken into consideration in simultaneous wireless information and power transfer (SWIPT) strategies,and a SWIPT strategy to guarantee the rate fairness was provided.BSI determined the terminals’ sufferable received rate and harvested energy.The proposed scheme was formulated as an optimization problem to max-min user rate,with rate/energy requirement constraints and the sufferable rate/energy constraints.To solve optimization problem,the receivers were firstly classified with their battery level,then the optimal solutions were obtained by the proposed iteration optimization-based algorithm.With the proposed scheme,the transmit power and the power splitting factor would be controlled and the data rate at receivers,especially the receivers that with lower battery level would be restricted,avoiding the required battery consumption to exceed battery level.Simulation results reveal that the proposed scheme can prolong battery lifetime and avoid the battery depletion problem,and its fairness performance is strengthened with the difference decreasing among the receivers’ battery level.

Key words: simultaneous wireless information and power transfer, power allocation, battery level constraint

CLC Number:

TN929.5

Zhirui HU. Terminal battery status information based fairness-aware SWIPT strategy[J]. Journal on Communications, 2020, 41(5): 112-119.

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[1]	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.
[2]	DI X F , XIONG K , FAN P Y ,et al. Optimal resource allocation in wireless powered communication networks with user cooperation[J]. IEEE Transactions on Wireless Communications, 2017,16(12): 7936-7949.
[3]	崔苗, 喻鑫, 李学易 ,等. 多载波无线携能通信的上下行链路联合资源分配[J]. 通信学报, 2019,40(3): 206-214.
	CUI M , YU X , LI X Y ,et al. Joint downlink and uplink resource allocation for multi-carrier SWIPT system[J]. Journal on Communications, 2019,40(3): 206-214.
[4]	BOSHKOVSKA E , NG D W K , ZLATANOV N ,et al. Practical non-linear energy harvesting model and resource allocation for SWIPT systems[J]. IEEE Communications Letters, 2015,19(12): 2082-2085.
[5]	TANG J , LUO J C , LIU M Q ,et al. Energy efficiency optimization for NOMA with SWIPT[J]. IEEE Journal of Selected Topics in Signal Processing, 2019,13(3): 452-466.
[6]	MAO S , LENG S P , HU J ,et al. Power minimization resource allocation for underlay MISO-NOMA SWIPT systems[J]. IEEE Access, 2019,7: 17247-17255.
[7]	ZHAO L , WANG X D , ZHENG K . Downlink hybrid information and energy transfer with massive MIMO[J]. IEEE Transactions on Wireless Communications, 2016,15(2): 1309-1322.
[8]	HU Z R , ZHANG T K , LOO J . Power allocation for coordinated multi-cell systems with imperfect channel and battery-capacity-limited receivers[J]. IEEE Communications Letters, 2017,21(12): 2746-2749.
[9]	RUBIO J , PASCUAL-ISERTE A . Energy-aware broadcast multiuserMIMO precoder design with imperfect channel and battery knowledge[J]. IEEE Transactions on Wireless Communications, 2014,13(6): 3137-3152.
[10]	ROST P , FETTWEIS G . On the transmission-computation-energy tradeoff in wireless and fixed networks[C]// 2010 IEEE Globecom Workshops. Piscataway:IEEE Press, 2010: 1394-1399.

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Terminal battery status information based fairness-aware SWIPT strategy

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