一种新型多用户OFDM认知无线电系统公平资源分配算法
首发时间:2010-01-05
摘要:摘 要:在无线频谱资源相当紧张,频谱利用率低的情况下,认知无线电(Cognitive Radio,CR)技术为提高资源利用率提供了一种很好的解决理念,OFDM技术以其灵活的动态资源分配成为认知无线电系统中首选的技术。本文提出了多用户OFDM认知无线电系统中新型的基于用户资源申请的塔木德公平资源分配算法,并同时对主用户两旁最相邻的子载波不进行加载比特(Subcarrier Nulling)处理以减小干扰进行研究。针对非实时业务,在干扰功率限制下,分两步进行资源分配:(1)先根据各用户资源申请情况得到塔木德公平分配算法下各用户应得资源向量;(2)采用发射功率一定,保证干扰低于干扰门限情况下,最大化传输速率的联合子载波分配和比特加载的基于贪婪算法的动态资源分配。仿真结果表明,此算法在OFDM CR系统中,相对于一般的按用户资源申请的比例分配,在资源充足时在各类业务QoS得到保证的同时,系统的比例公平性能更优,系统吞吐量更大。同时相关子载波零比特加载处理方法比未做处理的贪婪算法得到的系统吞吐量性能要好。
关键词: OFDM 认知无线电 塔木德公平分配 贪婪算法 相关子载波零比特加载
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A New Fair Resource Allocation Algorithm in multiuser OFDM Cognitive Radio Systems
Abstract:In the situation of scarcity and low utilization of spectrum resource, Cognitive Radio (CR) provides a good concept for improving the utilization of spectrum. OFDM technique is a preferred technique for CR systems. In this paper, a new fair resource allocation named Talmud algorithm based on the consumer’s biddings for resource in multiuser OFDM Cognitive Radio systems was presented; we also researched the Subcarrier Nulling on the sides of the Primary User(or Authorized User)in order to mitigate the interference. The Talmud resource allocation algorithm was divided into two steps: (1) Computing the output belongings vector according to Talmud algorithm based on the users’ biddings; (2) Keep the transmission power and the interference introduced by Secondary Users (or Cognitive Radio Users) below the desired threshold, and maximize the transmission rates with the joint subcarrier assignment and bit loading dynamic allocation algorithm based on greedy algorithm. The simulation results show that our proposed algorithm outperformed the ordinary proportional allocation in the performance of Proportional Fairness and the total throughput. Another result is that the Subcarrier Nulling approach outweighs the greedy algorithm without nulling.
Keywords: OFDM Cognitive Radio Talmud fairness allocation greedy algorithm Subcarrier Nulling or relevant subcarrier zero-bit loading
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