电台关联和频谱分配联合优化算法

武婧婧; 屈志毅

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电台关联和频谱分配联合优化算法

更新时间：2026-09-04

- 电台关联和频谱分配联合优化算法
- Joint Optimization Algorithm for Radio Association and Spectrum Allocation
- 微电子学与计算机 2017年34卷第7期页码：113-118
- 作者机构：
  
  兰州大学信息科学与工程学院,甘肃,兰州,730000
- 作者简介：
- 基金信息：
- DOI：
  中图分类号：
- 纸质出版：2017
- 稿件说明：
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武婧婧, 屈志毅. 电台关联和频谱分配联合优化算法[J]. 微电子学与计算机, 2017, 34(7): 113-118.

WU Jing-jing, QU Zhi-yi. Joint Optimization Algorithm for Radio Association and Spectrum Allocation[J]. 2017, 34(7): 113-118.
武婧婧, 屈志毅. 电台关联和频谱分配联合优化算法[J]. 微电子学与计算机, 2017, 34(7): 113-118. DOI：

WU Jing-jing, QU Zhi-yi. Joint Optimization Algorithm for Radio Association and Spectrum Allocation[J]. 2017, 34(7): 113-118. DOI：

摘要

战术无线网络是侦察、火力打击、搜索救援等战术应用的关键基础设施.受地形

气候以及敌方干扰等因素的影响

其面临严重的频谱稀缺问题.为实现电台"单跳接入"组织模式中的高效频谱分配

以最大化频谱效用为目标建立优化模型

提出电台关联和频谱分配联合优化算法.设计了综合考虑电台负载强度和信道SNR的权重参数.根据该权重参数求解无线接入结点与各电台间的最优关联以及各电台间的最优频谱分配.前者缓解电台在接入时的"远近效应"

并确保负载强度大的电台优先就近接入.后者优化系统吞吐

并兼顾频谱在各电台间分配的公平性.仿真结果表明

与静态和仅考虑电台负载强度的自适应频谱分配算法相比

该算法可以有效提升系统性能.

Abstract

Tactical wireless network is a critical facility for intelligence

fire attack

search % rescue and other tactical actions. Affected by terrain

climate

enemy jamming

etc.

it faces severe spectrum scarcity.Aim at efficient allocating spectrum in radio "single-hop access" organization mode; we formulate an optimization model to maximize spectrum utility and propose a joint optimization algorithm for radio association and spectrum allocation. A novel weight taking both radios load intensities and SNRs into account has been designed. We solve the optimal association among wireless access nodes (WANs) and radios and optimal spectrum allocation among radios according this weight. The former alleviates the near-far problem when radios access WANs

and guarantees radios with heavy load intensity have priority to associate a nearer WAN. Also focuses on the fairness of spectrum allocation

the latter optimizes the overall system throughput. Simulation results demonstrate that

compared with static and adaptive spectrum allocation algorithm only considering the load intensities of radios

the proposed algorithm can improve the system performances effectively.

关键词

Keywords

references

Elmasry G F. A comparative review of commercial vs. tactical wireless networks[J]. IEEE Communications Magazine, 2010, 48(10): 54-59. DOI: 54

Belmont Bertsekas D. Nonlinear programming[M]. 2nd ed. Belmont: Athena Scientific, 1999: 191-272. DOI: 191

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Fette B. Fourteen years of cognitive radio development[C]// Military Communications Conference, IEEE MILCOM. IEEE, 2013: 1166-1175.

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孙小玲, 李瑞, 整数规划[M]. 北京: 科学出版社, 2010: 23-35. DOI: 23

Tauil M, Shallcross D, Kant L, et al. Sepectrum allocation in C-NEDAT: A tool to automate MANET design and opportunistically adapt network spectrum use[C]// Military Communications Conference, IEEE MILCOM. IEEE, 2011: 1702-1707.

Sharma G, Shroff N. B, Mazumdar R.R. Maximum weighted matching with iInterference vonstraints[C]//Proc. of IEEE International Conference on Pervasive Computing and Communications. IEEE press, 2006: 70-74.

Lei D, Melodia T, Batalama S N, et al. Cross-layer routing and dynamic spectrum allocation in cognitiveradio Ad Hoc networks[J]. IEEE Transactions on Vehicular Technology, 1969, 59(4): 1969-1979. DOI: 1969

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