计算机技术与发展2016，Vol.26Issue(8)：113-118,6.DOI:10.3969/j.issn.1673-629X.2016.08.024
基于信干噪比模型的多跳认知网络速率优化
Rate Optimization Based on SINR in Cognitive Radio Network
摘要
Abstract
With the rapid development of wireless communication,problem of spectrum scarcity is becoming more and more prominent. Cognitive radio network,as an important technology to ease the contradiction between supply and demand,has been widely followed. In this paper,the constraints of physical,link and network layers is researched comprehensively with objective of maximizing rate in cogni-tive radio networks under Signal to Interference plus Noise Ratio ( SINR) . The problem is formed of mixed integer nonlinear program. To solve the problem,a Reformulation Linearization Technique ( RLT) is adopted and optimal solution for it is obtained. Simulation demon-strates the efficacy of the solution procedure,offering the benefit for cross-layer design and achieving the goal of rate optimization for cognitive radio network.关键词
多跳认知网络/重构线性化技术/信干噪比模型/速率Key words
multi-hop cognitive radio network/RLT/SINR/rate分类
信息技术与安全科学引用本文复制引用
田峰,朱雯君..基于信干噪比模型的多跳认知网络速率优化[J].计算机技术与发展,2016,26(8):113-118,6.基金项目
国家自然科学基金青年基金(61001077) （61001077）
教育部重点实验室开放课题(NYKL201308) （NYKL201308）
