Cognitive OFDM Optimal Resource Allocation Algorithm Based on Fish Swarm Algorithm

WANG Wei; QIN Xi-zhong; JIA Zhen-hong; NIU Hong-mei; CAO Chuan-ling

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Cognitive OFDM Optimal Resource Allocation Algorithm Based on Fish Swarm Algorithm

更新时间：2026-09-04

- Cognitive OFDM Optimal Resource Allocation Algorithm Based on Fish Swarm Algorithm
- Vol. 34, Issue 6, Pages: 62-66(2017)
- 作者机构：
  
  1. 新疆大学信息科学与工程学院,新疆,乌鲁木齐,830046
  2. 中国移动通信集团新疆有限公司,新疆,乌鲁木齐,830063
- 作者简介：
- 基金信息：
- DOI：
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- Published：2017
- 稿件说明：
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王蔚, 覃锡忠, 贾振红, 牛红梅, 曹传玲. 基于鱼群算法的认知OFDM资源分配算法研究[J]. 微电子学与计算机, 2017, 34(6): 62-66.

WANG Wei, QIN Xi-zhong, JIA Zhen-hong, et al. Cognitive OFDM Optimal Resource Allocation Algorithm Based on Fish Swarm Algorithm[J]. 2017, 34(6): 62-66.
王蔚, 覃锡忠, 贾振红, 牛红梅, 曹传玲. 基于鱼群算法的认知OFDM资源分配算法研究[J]. 微电子学与计算机, 2017, 34(6): 62-66. DOI：

WANG Wei, QIN Xi-zhong, JIA Zhen-hong, et al. Cognitive OFDM Optimal Resource Allocation Algorithm Based on Fish Swarm Algorithm[J]. 2017, 34(6): 62-66. DOI：

摘要

为解决认知OFDM系统中由于授权用户未能充分利用频谱资源而引起资源短缺的问题

提出一种基于鱼群算法的最优资源分配策略.根据比例公平原则分配子载波

通过人工鱼群算法对认知用户的功率进行合理分配

其中考虑到认知用户和授权用户互不干扰

同时兼顾适应度函数作为判断功率分配的合理性

实现认知OFDM系统的容量最大化.实验结果表明

该算法在认知用户对授权用户干扰小于门限值要求条件下

保证认知用户子载波和功率分配的公平性

有效提高频谱利用率

实现了系统的传输速率最大化.

Abstract

In order to solve problems due to cognitive OFDM system authorized user underutilized spectrum resources caused by the shortage of resources

the proposed optimal resource allocation strategy based on fish swarm algorithm. According to the principle of fair distribution ratio of sub-carriers

a reasonable allocation by AFSA cognitive power users

taking into account the cognitive users and authorized users without disturbing each other

taking into account the fitness function for judging the reasonableness of power allocation to achieve cognitive OFDM system capacity is maximized. Experimental results show that the algorithm in cognitive user interference to authorized users is less than the threshold requirements under the conditions

ensure the fairness of cognitive users subcarrier and power allocation

improve spectral efficiency

to achieve the maximum transmission rate of the system.

关键词

Keywords

references

Pao W C, Chen Y F. Adaptive gradient-based methods for adaptive power allocation in OFDM-based cognitive radio networks[J]. IEEE Transactions on Vehicular Technology, 2014, 63(2): 836-848. DOI: 836

Shen Z, Andrews J G, Evans B L. Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints[J]. IEEE Transactions on Wireless Communications, 2005, 4(6): 2726-2737. DOI: 2726

Wang S, Zhou Z H, Ge M, et al. Resource allocation for heterogeneous cognitive radio networks with imperfect spectrum sensing[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(3) : 464-475. DOI: 464

Sun D, Zheng B, Xu X. Multi-user cognitive OFDM with adaptive sub-carrier and power allocation[C]// Proceedings of IEEE Future Computer and Communication (ICFCC). Wuhan: IEEE Press, 2010: V1-159 - V1-163.

汪照, 李有明, 陈斌, 等. 基于鱼群算法的OFDMA自适应资源分配[J]. 物理学报, 2013, 62(12): 509-515. DOI: 509

施伟嘉, 王少尉. 基于OFDM的认知无线网络资源分配[J]. 南京大学学报(自然科学版), 2014, 70(3): 342-349. DOI: 342

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