A Robust Energy Efficiency Power AllocationAlgorithm in Cognitive Radio Networks

被引：6

作者：

Mingyue Zhou ^{[1
,2
]}

Xiaohui Zhao ^{[2
]}

机构：

[1] College of Computer Science and Engineering, Changchun University of Technology

[2] Key Laboratory of Information Science, College of Communication Engineering, Jilin University

来源：

中国通信 | 2018年 / 15卷 / 10期

关键词：

D O I：

暂无

中图分类号：

TN925 [无线电中继通信、微波通信];

学科分类号：

080904 [电磁场与微波技术];

摘要：

In order to solve the problem that traditional energy efficiency power allocation algorithms usually require the assumption of constant or perfect channel state information in cognitive radio networks(CRNs),which may lead to performance degradation in real systems with disturbances or uncertainties,we propose a robust energy efficiency power allocation algorithm for underlay cognitive radio(CR)systems with channel uncertainty in consideration of interference power threshold constraint and minimum target SINR requirement constraint.The ellipsoid sets are used to describe the channel uncertainty,and a constrained fractional programming for the allocation is transformed to a convex optimization problem by worst-case optimization approach.A simplified version of robust energy efficiency scheme by a substitutional constraint having lower complexity is presented.Simulation results show that our proposed scheme can provide higher energy efficiency compared with capacity maximization algorithm and guarantee the signal to interference plus noise ratio(SINR)requirement of each cognitive user under channel uncertainty.

引用

页码：150 / 158

页数：9

共 5 条

[1]

Robust Power Allocation for Energy-Efficient Location-Aware Networks [J].