异构携能通信网络顽健资源分配算法

doi:10.11959/j.issn.1000-436x.2019160

Abstract

Abstract:

To improve energy efficiency and robustness of heterogeneous wireless networks with wireless information and power transfer,the robust joint transmit power and power splitting resource allocation problem was studied.Based on mini-max probability machine and Dinkelbach method,the original NP-hard problem was transformed into a solvable convex optimization form,meanwhile a distributed dual resource allocation algorithm was proposed.Additionally,both computational complexity and robust sensitivity were analyzed.Simulation results show that the proposed algorithm can guarantee the quality of service requirements of macro cellular users and femtocell users under channel uncertainties.

Key words: heterogeneous wireless network, simultaneous wireless information and power transfer, energy-efficiency maximization, robust resource allocation

CLC Number:

TP302

Yongjun XU,Yuan HU,Guoquan LI,Jinzhao LIN,Qianbin CHEN. Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT[J]. Journal on Communications, 2019, 40(7): 186-196.

Figures/Tables 10

符号	物理意义	符号	物理意义
M	宏蜂窝用户数量	N	飞蜂窝用户数量
p_j	飞蜂窝基站分配给第 j个飞蜂窝用户接收机的发射功率	p_n	飞蜂窝基站分配给第n个飞蜂窝用户接收机的发射功率
h_{j ,i}	飞蜂窝基站对第j个飞蜂窝用户服务时对第i个宏蜂窝用户接收机的干扰信道增益	I_th	宏蜂窝用户接收机能够容忍的最大干扰阈值
P^max	飞蜂窝基站最大发射功率约束	ρ_j	第 j个接收机信号功率中信息信号的比例系数
$g_{j}$	飞蜂窝基站到第 j个飞蜂窝用户接收机链路上的直接信道增益	I_j	宏蜂窝网络对第 j个飞蜂窝用户接收机的干扰功率
$h_{_{n},_{j}}$	邻近飞蜂窝用户之间的多址干扰信道增益	σ²	接收机端的背景噪声
R_j	第j个飞蜂窝用户接收机端的实际速率	$R_{j}^{\min}$	第j个飞蜂窝用户接收机端的最小传输速率需求
P_C	电路功率损耗	θ	能量收集效率
ε_i	宏蜂窝用户i的中断概率阈值	${\bar{h}}_{j, i}$	飞蜂窝到宏蜂窝用户的干扰信道增益估计值

参数名称	参数值
基站发射功率阈值P^max/W	1.5
背景噪声功率σ²/W	10^-8
干扰功率阈值I_th/W	0.1
中断概率阈值ε	0.2
能量效率θ/(bit?J^-1)	0.5
最小传输速率 $R_{j}^{\min} / (bit \cdot {(s \cdot Hz)}^{- 1})$	2
电路损耗功率P_C/W	0.2

References 28

[1]	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.
[2]	TANG J , SHOJAEIFARD A , SO D K C ,et al. Energy efficiency optimization for CoMP-SWIPT heterogeneous networks[J]. IEEE Transactions on Communications, 2018,66(12): 6368-6383.
[3]	AKBAR S , DENG Y , NALLANATHAN A ,et al. Simultaneous wireless information and power transfer in K-tier heterogeneous cellular networks[J]. IEEE Transactions on Wireless Communications, 2016,15(8): 5804-5818.
[4]	XU Y J , HU Y , CHEN Q B ,et al. Optimal power allocation for multiuser OFDM-based cognitive heterogeneous networks[J]. China Communication, 2017,14(9): 52-61.
[5]	LAI W , CHANG T , LEE T . Power and admission control for spectral and energy efficiency maximization in heterogeneous OFDMA networks[J]. IEEE Transactions on Wireless Communications, 2016,15(5): 3531-3547.
[6]	DAVASLIOGLU K , COSKUN C C , AYANOGLU E . Energy-efficient resource allocation for fractional frequency reuse in heterogeneous networks[J]. IEEE Transactions on Wireless Communications, 2015,14(10): 5484-5497.
[7]	XU Y J , HU Y , LI G Q . Robust rate maximization for heterogeneous wireless networks under channel uncertainties[J]. Sensors, 2018,18(2): 1-18.
[8]	WANG S W , SHI W , WANG C . Energy-efficient resource management in OFDM-based cognitive radio networks under channel uncertainty[J]. IEEE Transactions on Communications, 2015,63(9): 3092-3102.
[9]	HAO Y , NI Q , LI H ,et al. Robust multi-objective optimization for EE-SE tradeoff in D2D communications underlaying heterogeneous networks[J]. IEEE Transactions on Communications, 2018,66(10): 4936-4949.
[10]	LOHANI S , HOSSAIN E , BHARGAVA V K . On downlink resource allocation for SWIPT in small cells in a two-tier HetNet[J]. IEEE Transactions on Wireless Communications, 2016,15(11): 7709-7724.
[11]	MUNIR H , HASSAN S A , PERVAIZ H ,et al. Energy efficient resource allocation in 5G hybrid heterogeneous networks:a game theoretic approach[C]// IEEE Vehicular Technology Conference (VTC 2017). IEEE, 2017: 24-27.
[12]	夏玮玮, 丁兆明, 沈连丰 . 异构网络中基于负载传递的联合接纳控制算法[J]. 通信学报, 2018,39(5): 34-47.
	XIA W W , DING Z M , SHEN L F . Joint admission control algorithm based on load transfer in heterogeneous networks[J]. Journal on Communications, 2018,39(5): 34-47.
[13]	XU Y J , ZHAO X H . Optimal power allocation for multiuser underlay cognitive radio networks under QoS and interference temperature constraints[J]. China Communications, 2013,10(10): 91-100.
[14]	YAN J , PU W , LIU H ,et al. Robust chance constrained power allocation scheme for multiple target localization in co-located MIMO radar system[J]. IEEE Transactions on Signal Processing, 2018,66(15): 3946-3957.
[15]	LEE H , KWAK J , LE L B . Robust power allocation in cognitive radio networks with uncertain knowledge of interference[J]. IEEE Wireless Communications Letters, 2016,5(5): 468-471.
[16]	XU Y J , HU Y , CHEN Q B ,et al. Robust resource allocation for multi-tier cognitive heterogeneous networks[C]// IEEE International Conference on Communications (ICC 2017). IEEE, 2017: 21-25.
[17]	LI S , NI Q , SUN Y J ,et al. Energy-efficient resource allocation for industrial cyber-physical IoT systems in 5G Era[J]. IEEE Transactions on Industrial Informatics, 2018,14(6): 2618-2628.
[18]	BOYD S , VANDENBERGHE L . Convex optimization[M]. Cambridge: Cambridge University PressPress, 2004.
[19]	NADKAR T , THUMAR V , TEJ G P S ,et al. Distributed power allocation for secondary users in a cognitive radio scenario[J]. IEEE Transactions on Wireless Communications, 2012,11(4): 1576-1586.
[20]	LEE C , CHANG R , LIN C ,et al. Sum-rate maximization for energy harvesting-aided D2D communications underlaid cellular networks[C]// IEEE 28th Annual International Symposium on Personal,Indoor,and Mobile Radio Communications (PIMRC). IEEE, 2017: 1-6.
[21]	FANG F , CHENG J , DING Z G . Joint energy efficient subchannel and power optimization for a downlink NOMA heterogeneous network[J]. IEEE Transactions on Vehicular Technology, 2019,68(2): 1351-1364.
[22]	XU Y J , ZHAO X H , LIANG Y C . Robust power control and beamforming in cognitive radio networks:a survey[J]. IEEE Communications Surveys and Tutorials, 2015,17(4): 1834-1857.
[23]	ZHOU X , LI Q . Energy efficiency for SWIPT in MIMO two-way amplify-and-forward relay networks[J]. IEEE Transactions on Vehicular Technology, 2018,67(6): 4910-4924.
[24]	ZAPPONE Z , JORSWIECK E . Energy efficiency in wireless networks via fractional programming theory[J]. Foundations and Trends Communications and Information Theory, 2015,11(3): 185-396.
[25]	XU Y J , LIU Y C , LI G Q ,et al. Robust uplink power allocation for two-tier heterogeneous networks[C]// 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2017: 11-13.
[26]	ZHANG H J , LIU H , CHENG J L . Downlink energy efficiency of power allocation and wireless backhaul bandwidth allocation in heterogeneous small cell networks[J]. IEEE Transactions on Communications, 2017,66(4): 1705-1716.
[27]	XU Y J , HU Y , LI G Q . Robust resource allocation for heterogeneous wireless network:a worst-case optimization[J]. IET Communications, 2018,12(9): 1064-1071.
[28]	徐勇军, 赵晓晖 . 认知无线电系统的顽健资源分配算法[J]. 通信学报, 2014,35(4): 124-129.
	XU Y J , ZHAO X H . Robust resource allocation algorithm for cognitive radio system[J]. Journal on Communications, 2014,35(4): 124-129.

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