计算机科学 ›› 2018, Vol. 45 ›› Issue (11A): 299-302.

• 网络与通信 • 上一篇    下一篇

基于MIMO系统的容量最大化资源分配算法

刘春玲, 马秋成, 张然   

  1. 大连大学信息工程学院 辽宁 大连116622
  • 出版日期:2019-02-26 发布日期:2019-02-26
  • 通讯作者: 马秋成(1991-),男,硕士生,主要研究方向为卫星通信网络技术,E-mail:mqc_1991@163.com
  • 作者简介:刘春玲(1971-),女,博士,教授,CCF会员,主要研究方向为信号处理和卫星通信;张 然(1985-),女,博士,CCF会员,主要研究方向为卫星通信网络技术。
  • 基金资助:
    本文受自然科学基金项目(91338104),辽宁省教育厅科学研究项目(L2013461)资助。

Resource Allocation of Capacity Maximization Based on MIMO System

LIU Chun-ling, MA Qiu-cheng, ZHANG Ran   

  1. College of Information Engineering,Dalian University,Dalian,Liaoning 116622,China
  • Online:2019-02-26 Published:2019-02-26

摘要: 多输入多输出(MIMO)技术可以提高系统传输速率、增大系统容量。针对应急通信中短时间内用户激增,传统资源分配算法的系统容量无法满足用户需求的问题,提出一种基于MIMO-OFDM系统用户最小速率的系统容量最大化资源分配算法。该算法考虑了应急场景内通话类等低速率业务剧增的情况,首先根据用户速率由低到高依次分配子载波,然后根据分得的子载波数之比将剩余子载波按照用户速率由高到低分配;对于有盈余带宽的子载波,采用子载波分组的方法再分配,从而最大化系统服务用户数。为了补偿信道衰弱和抑制信道间干扰,提出一种对子载波信道矩阵分组的功率分配方法,减少了迭代次数,降低了复杂度。从吞吐量、服务用户数和计算复杂度等方面评估了容量最大化算法的性能。仿真结果表明,相对于传统的资源分配算法,所提算法增加了系统服务用户数,减小了计算复杂度。

关键词: 多输入多输出, 功率分配, 容量最大化, 应急通信, 子载波分配

Abstract: Multiple input multiple output (MIMO) technology can improve the transmission rate of system and increase the system capacity.Aiming at the problems that users suddenly increase in emergency communication andthe system capacity of the traditional resource allocation algorithm is unable to meet the demand of users,a resource allocation algorithm for maximizing system capacity based on the user’s minimum rate of MIMO-OFDM system was proposed.It considers the rapid growth of low rate business such as call service in emergency situations.Firstly,the subcarriers are allocated in descending order according to the users’ rate.Then,on the basis of the ratio of allocated subcarriers’ number,the remaining subcarriers are allocated from high to low according to the users’ rate.For the subcarriers with remaining bandwidth,subcarrier grouping method is used for redistributing,thus it maximizes the number of system serviced users.In order to compensate for channel fading and suppress interference between channels,a power allocation of subcarrier channel matrix grouping was proposed.It candecrease the number of iterations and reduce the computational complexity.The simulation experiment evaluates the performance of the proposed algorithm from throughput,the number of system serviced users,computational complexity and so on.Comparing with traditional resource allocation algorithms,the simulation results show that the proposed algorithm increases the number of system serviced users and reduces computational complexity.

Key words: Capacity maximization, Emergency communication, MIMO, Power allocation, Subcarrier allocation

中图分类号: 

  • TP391.9
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