Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks

Xiaoqing DONG; Lianglun CHENG; Gengzhong ZHENG; Tao WANG

doi:10.11959/j.issn.1000-436x.2019189

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Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks

Papers | 更新时间：2024-06-05

- Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks
- Journal on Communications Vol. 40, Issue 9, Pages: 124-135(2019)
- 作者机构：
  
  1. 韩山师范学院物理与电子工程学院，广东潮州 521041
  2. 广东工业大学计算机学院，广东广州 510006
  3. 广东工业大学自动化学院，广东广州 510006
- 作者简介：
- 基金信息：
  
  Science and Technology Project of Guangdong Province(2016A020209012);Science and Technology Project of Guangdong Province(2017B090901019);Science and Technology Project of Guangdong Province(2015A010103015);The Natural Science Foundation of Guangdong Province(2014A030307014)
- DOI：10.11959/j.issn.1000-436x.2019189
  CLC： TN92
- Online First：2019-09，
  
  Published：25 September 2019
- 稿件说明：
移动端阅览
Xiaoqing DONG, Lianglun CHENG, Gengzhong ZHENG, et al. Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks[J]. Journal on Communications, 2019, 40(9): 124-135.
DOI：

Xiaoqing DONG, Lianglun CHENG, Gengzhong ZHENG, et al. Spectrum resource allocation method of maximizing transmission rate in cognitive heterogeneous wireless networks[J]. Journal on Communications, 2019, 40(9): 124-135. DOI： 10.11959/j.issn.1000-436x.2019189.

摘要

针对频谱属性异构、信道条件动态变化、业务需求多样的认知异构无线网络中难以为次用户高效分配频谱资源的问题，提出了传输速率最大化的频谱资源分配策略。该策略首先以总传输速率最大化为目标，以受限频谱资源及用户业务需求为约束条件，构建了非线性多约束的频谱资源分配0-1规划模型；然后设计了一种多项式时间复杂度的化简求解方法，该方法根据空闲频谱信息、信道条件、业务需求及分配决策历史信息构建并修正效益矩阵，实现约束条件化简，并通过改进传统匈牙利算法的系数矩阵变换策略提高执行效率。最后，通过实验对算法性能进行对比分析，实验结果显示，所提方法具有更高的传输速率及执行效率。

Abstract

Aiming at the problem that it is difficult to allocate spectrum resources to secondary users efficiently in cognitive heterogeneous wireless networks with heterogeneous spectrum attributes

dynamic channel conditions and diverse service requirements

a spectrum resource allocation strategy with maximum transmission rate was proposed.Firstly

the strategy aimed at maximizing the total transmission rate

and constrained the limited spectrum resources and user service requirements to construct a non-linear multi-constrained spectrum resource allocation 0-1 planning model.Then a polynomial time complexity simplification method was designed.According to idle spectrum information

channel conditions

business requirements and allocation decision history information

and the benefit matrix was constructed and modified to achieve constraint simplification

and the execution efficiency was improved by improving the coefficient matrix transformation strategy of the traditional Hungarian algorithm.Finally

the performance of the method was compared and analyzed by experiments.Experimental results show that the proposed method has higher transmission rate and execution efficiency.

关键词

Keywords

references

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