A Robust Distributed Power Control Algorithm for Minimum Interference to Primary Users in Underlay Cognitive Radio Networks

被引：0

作者：

Chen, Lingling ^{[1
,2
]}

Zhao, Xiaohui ^{[3
]}

Sun, Shubei ^{[1
]}

Lu, Yueliang ^{[1
]}

Gong, Xiaoyue ^{[1
]}

Gao, Xingquan ^{[1
]}

机构：

[1] Jilin Inst Chem Technol, Coll Informat & Control Engn, Jilin, Peoples R China

[2] Jilin Univ, Comp Sci & Technol, Jilin, Peoples R China

[3] Jilin Univ, Coll Commun Engn, Jilin, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ONLINE ENGINEERING | 2016年 / 12卷 / 12期

基金：

中国国家自然科学基金;

关键词：

cognitive radio networks; robust distributed power control (RDPC); worst case condition;

D O I：

10.3991/ijoe.v12i12.6443

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A robust distributed optimal power control (RDPC) scheme under worst case condition is proposed to make primary users (PUs) receive minimum interference generated from all secondary users (SUs) in underlay cognitive radio networks (CRNs). The strategy considers the transmit power of each SU below the maximum allowable power of the devices and interference plus noise ratio (SINR) of each SU under the minimum threshold. Simulation illustrate thatthe RDPC can lead SUs to reduce the interference to PUs, and simultaneously the better meet quality of service (QoS) requirement of SUs in comparison with the distributed power control algorithm (DPC) and the traditional iterative water filling algorithm (IWFA) in timevarying channel environment.

引用

页码：CP3 / 10

页数：7

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