基金项目

基于图论模型的认知无线电频谱分配仿真建模研究

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  • 山西师范大学物理与信息工程学院
刘新浩(2001-),男,山东鱼台人,本科,研究方向为电子信息工程专业。

网络出版日期: 2021-06-16

基金资助

山西省高等学校大学生创新创业训练项目基金资助,项目编号:2020225


Simulation Modeling of Cognitive Radio Spectrum Allocation Based on Graph Theory Model

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  • Shanxi Normal University,

Online published: 2021-06-16

摘要

鉴于频谱分配的可用性和干扰条件,通过将认知用户组成的网络描绘为图,以图论模型推动频谱分配最优化是当下认知无线电频谱分配研究的重点。无干扰分配矩阵用以记载频谱分配的终极策略,但对其直接编码,往往存在编码维数过高问题。为更高效地对认知无线电频谱分配仿真建模,将可用性矩阵进行提取并编码,压缩为一维矩阵,优化完成之后再根据原有关系复原,更好地降低了编码维数,缩减了解的空间维数。实验表明,该方法能更高效、快速地完成无线电频谱分配仿真建模。

关键词: 图论模型; 认知无线电; 频谱分配

; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">According to the availability and interference conditions of spectrum allocation, it is a major feature of the existing re; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">-; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">search to abstract the network composed of cognitive users into a graph, and promote the study of spectrum allocation by graph theo; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">-; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">ry. The final spectrum allocation strategy is usually recorded in the non-interference allocation matrix, but the problem of high cod; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">-; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">ing dimension often exists when it is encoded directly. In order to simulate and model cognitive radio spectrum allocation more effi; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">-; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">ciently, the availability matrix is extracted and encoded and reduced to one-dimensional matrix. After optimization, the availability; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">matrix is restored according to the original corresponding relationship, so as to better reduce the coding dimension and the spatial di; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">-; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">mension of understanding. Experimental results show that this method can complete simulation modeling of radio spectrum alloca; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">-; background-color:#FFFFFF; font-size:14.9998px; font-family:sans-serif; ">tion more efficiently and quickly

本文引用格式

刘新浩 马昕睿 王大为 . 基于图论模型的认知无线电频谱分配仿真建模研究[J]. 电脑与电信, 2021 , 1(3) : 16 -20 . DOI: 1008-6609(2021)03-0016-05

Abstract

According to the availability and interference conditions of spectrum allocation, it is a major feature of the existing re-search to abstract the network composed of cognitive users into a graph, and promote the study of spectrum allocation by graph theo-ry. The final spectrum allocation strategy is usually recorded in the non-interference allocation matrix, but the problem of high cod-ing dimension often exists when it is encoded directly. In order to simulate and model cognitive radio spectrum allocation more effi-ciently, the availability matrix is extracted and encoded and reduced to one-dimensional matrix. After optimization, the availabilitymatrix is restored according to the original corresponding relationship, so as to better reduce the coding dimension and the spatial di-mension of understanding. Experimental results show that this method can complete simulation modeling of radio spectrum alloca-tion more efficiently and quickly.
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