OFDMA认知无线电网络中面向需求的频谱共享

张翅; 曾碧卿; 杨劲松; 谢晓虹

doi:10.11959/j.issn.1000-436x.2015227

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OFDMA认知无线电网络中面向需求的频谱共享

学术通信 | 更新时间：2024-06-05

- OFDMA认知无线电网络中面向需求的频谱共享
- Requirements-oriented spectrum sharing for OFDMA cognitive radio networks
- 通信学报 2015年36卷第8期页码：192-206
- 作者机构：
  
  1. 华南师范大学计算机学院，广东广州 510631
  2. 华南师范大学软件学院，广东佛山 528225
- 作者简介：
  
  [ "张翅（1990-），男，安徽无为人，华南师范大学硕士生，主要研究方向为认知无线电网络、博弈论。" ]
  [ "曾碧卿（1969-），男，湖南衡阳人，博士，华南师范大学软件学院副院长、教授，主要研究方向为分布式处理、并行I/O、移动互联网和认知无线电网络。" ]
  [ "杨劲松（1991-），男，江西新干人，华南师范大学硕士生，主要研究方向为认知无线电网络、智能算法。" ]
  [ "谢晓虹（1990-），女，广东湛江人，华南师范大学硕士生，主要研究方向为无线传感器网络。" ]
- 基金信息：
  
  国家自然科学基金资助项目(71272144);广州市科技计划基金资助项目(2013KP084)
- DOI：10.11959/j.issn.1000-436x.2015227
  中图分类号： TN929.5
- 网络出版日期：2015-08，
  
  纸质出版日期：2015-08-25
- 稿件说明：
移动端阅览
张翅, 曾碧卿, 杨劲松, 等. OFDMA认知无线电网络中面向需求的频谱共享[J]. 通信学报, 2015,36(8):192-206.

Chi ZHANG, Bi-qing ZENG, Jin-song YANG, et al. Requirements-oriented spectrum sharing for OFDMA cognitive radio networks[J]. Journal on communications, 2015, 36(8): 192-206.
张翅, 曾碧卿, 杨劲松, 等. OFDMA认知无线电网络中面向需求的频谱共享[J]. 通信学报, 2015,36(8):192-206. DOI： 10.11959/j.issn.1000-436x.2015227.

Chi ZHANG, Bi-qing ZENG, Jin-song YANG, et al. Requirements-oriented spectrum sharing for OFDMA cognitive radio networks[J]. Journal on communications, 2015, 36(8): 192-206. DOI： 10.11959/j.issn.1000-436x.2015227.

摘要

从满足次网络通信需求的角度，设计一个两阶段模型，求解OFDMA 认知无线电网络中频谱租赁与分配问题。模型第1阶段，次基站收集次网络通信需求，向多个主基站租用频谱资源。运用Bertrand博弈对主、次基站的交易行为进行建模，并将纳什均衡作为最终定价方案。第2阶段，基于纳什议价方案，将次基站子载波和功率分配问题定义成非线性规划问题，并通过拉格朗日乘数法进行求解。仿真实验表明，相对于其他频谱共享方案，所提方案高效地满足每个次用户的通信需求。

Abstract

Considering the satisfaction of the secondary network communication requirements

a two-stage model was proposed to address the spectrum leasing and allocation problem in OFDMA cognitive radio networks(CRN).At the first stage of the model

the secondary base station(SBS)collected channel capacity requirements of the secondary network

and rent the spectrum resource from multiple primary base stations(PBS).The trade behaviors between the PBS and the SBS were modeled with a Bertrand game

and adopted the Nash equilibrium as the pricing scheme.At the second stage

with the Nash bargaining solution(NBS)

the subcarriers and power allocation problem were defined as a nonlinear programming problem

and obtained the solution by Lagrange multiplier method.Comparing with the other spectrum allocation schemes

simulation results show the proposed spectrum sharing scheme can satisfy each secondary user’s communication requirements more fairly and efficiently.

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references

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