异构携能通信网络顽健资源分配算法

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

通信学报 ›› 2019, Vol. 40 ›› Issue (7): 186-196.doi: 10.11959/j.issn.1000-436x.2019160

异构携能通信网络顽健资源分配算法

徐勇军^1,²,胡圆¹,李国权¹(),林金朝¹,陈前斌¹

¹ 重庆邮电大学通信与信息工程学院，重庆 400065
² 重庆邮电大学生物医学工程研究中心，重庆 400065

修回日期:2019-06-11 出版日期:2019-07-25 发布日期:2019-07-30
作者简介:徐勇军（1986- ），男，湖北赤壁人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为认知无线电、异构无线网络传输技术等。|胡圆（1995- ），女，新疆阿克苏人，重庆邮电大学硕士生，主要研究方向为异构无线网络、顽健资源分配、能量效率优化和无线携能技术等。|李国权（1980- ），男，河南方城人，博士，重庆邮电大学副教授、硕士生导师，主要研究方向为MIMO无线通信传输技术、异构无线网络传输技术等。|林金朝（1966- ），男，四川蓬溪人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信传输技术、BAN 网络与信息处理技术等。|陈前斌（1967-），男，四川南充人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信与网络。
基金资助:
国家自然科学基金资助项目(61601071);国家自然科学基金资助项目(61671091);重庆市教委科学技术研究计划基金资助项目(KJQN201800606)

Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT

Yongjun XU^1,²,Yuan HU¹,Guoquan LI¹(),Jinzhao LIN¹,Qianbin CHEN¹

¹ School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China
² Research Center of Biomedical Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

Revised:2019-06-11 Online:2019-07-25 Published:2019-07-30
Supported by:
The National Natural Science Foundation of China(61601071);The National Natural Science Foundation of China(61671091);The Science and Technology Research Program of Chongqing Municipal Education Commission(KJQN201800606)

摘要/Abstract

摘要：

为了提高异构携能通信网络能效和顽健性，研究了能效最大的顽健联合发射功率和功率分流资源分配问题。基于最小最大概率机和Dinkelbach理论，将原NP-hard问题转换为凸优化形式，提出了分布式对偶资源分配算法，并分析了算法的计算复杂度和顽健灵敏度。仿真结果表明，所提算法在信道不确定性下能同时保障宏蜂窝用户和飞蜂窝用户的服务质量。

关键词: 异构无线网络, 携能通信, 能量效率优化, 顽健资源分配算法

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

中图分类号:

TP302

徐勇军,胡圆,李国权,林金朝,陈前斌. 异构携能通信网络顽健资源分配算法[J]. 通信学报, 2019, 40(7): 186-196.

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.

图/表 10

图1

表1

本文物理参数描述"

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

表1

表2

仿真参数"

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

表2

图2

图3

图4

图5

图6

图7

图8

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异构携能通信网络顽健资源分配算法

Robust resource allocation algorithm for heterogeneous wireless networkwith SWIPT

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