认知无线电中频谱空洞统计特性分析与分配

doi:10.3969/j.issn.1001-2400.2017.02.019

西安电子科技大学学报

认知无线电中频谱空洞统计特性分析与分配

黄杰;曾孝平;简鑫;谭晓衡;张耀乐

(重庆大学通信工程学院，重庆 400000)

收稿日期:2016-04-26 出版日期:2017-04-20 发布日期:2017-05-26
通讯作者: 简鑫(1987-)，男，讲师，E-mail: jianxin@cqu.edu.cn
作者简介:黄杰(1988-)，男，重庆大学博士研究生，E-mail: huangjiezzzz@163.com
基金资助:
国家自然科学基金资助项目(91438104，61571069，61501065，61601067)；中央高校基本科研业务费专项资金资助项目(106112016CDJXY160001)；重庆市基础科学与前沿技术研究专项资助项目(CSTC2016JCYJA0021)

Statistical spectrum analysis and allocation in cognitive radio networks

HUANG Jie;ZENG Xiaoping;JIAN Xin;TAN Xiaoheng;ZHANG Yaole

(College of Communication Engineering, Chongqing Univ., Chongqing 400000, China)

Received:2016-04-26 Online:2017-04-20 Published:2017-05-26

摘要/Abstract

摘要：

针对动态网络场景的频谱空洞可用带宽存在时变性，传统基于静态特性的认知无线电资源分配方式难以直接应用的问题，推导了频谱空洞可用带宽概率密度函数通用表示形式，并联合随机多背包模型提出基于频谱空洞统计特性的离散频谱分配策略，实现了考虑频谱空洞可用带宽统计特性的资源分配．数值仿真表明，与传统算法相比，所提算法在频谱空洞变化频繁场景下，能有效减少频谱变化产生的冲突，具有较高的网络利用率．

关键词: 认知无线电, 资源分配, 频谱空洞, 随机多背包

Abstract:

The bandwidth of spectrum holes is time-varied in cognitive radio networks with dynamic spectrum environment, which leads to the traditional static spectrum allocation poor performance. To solve this issue, this paper derives the probability density function of bandwidth of spectrum holes and presents a novel spectrum allocation algorithm based on the stochastic multiple knapsack problem. Simulation results illustrate that the proposed algorithm can achieve a better performance than the existing algorithms when the bandwidth of spectrum holes is time-varied.

Key words: cognitive radio, spectrum allocation, spectrum holes, statistical multiple knapsack problem

黄杰;曾孝平;简鑫;谭晓衡;张耀乐. 认知无线电中频谱空洞统计特性分析与分配[J]. 西安电子科技大学学报, 2017, 44(2): 107-113.

HUANG Jie;ZENG Xiaoping;JIAN Xin;TAN Xiaoheng;ZHANG Yaole. Statistical spectrum analysis and allocation in cognitive radio networks[J]. Journal of Xidian University, 2017, 44(2): 107-113.

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认知无线电中频谱空洞统计特性分析与分配

Statistical spectrum analysis and allocation in cognitive radio networks

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