基于不完备CSI的OFDMA公平资源分配算法

吴耀辉; 李有明; 金丽萍; 邵鹏飞

doi:10.11959/j.issn.1000-0801.2015011

您当前的位置：

首页 >

文章列表页 >

基于不完备CSI的OFDMA公平资源分配算法

研究与开发 | 更新时间：2024-06-05

- 基于不完备CSI的OFDMA公平资源分配算法
- Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI
- 电信科学 2015年31卷第2期页码：63-68
- 作者机构：
  
  1. 宁波大学通信技术研究所宁波 315211
  2. 浙江万里学院电子信息学院宁波 315100
- 作者简介：
  
  [ "吴耀辉，男，宁波大学博士生，浙江万里学院讲师，主要研究方向为OFDM系统资源分配。" ]
  [ "李有明，男，宁波大学通信技术研究所博士生导师、教授，主要研究方向为无线和有线宽带通信技术中的干扰抑制、动态资源分配、MIMO-OFDM、协作中继、认知无线电等。" ]
  [ "金丽萍，女，宁波大学博士生，浙江万里学院讲师，主要研究方向为无线和有线宽带通信技术中的系统性能分析、干扰抑制和动态资源分配。" ]
  [ "邵鹏飞，男，浙江万里学院副教授，主要研究方向为通信网络技术。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61071119);江省自然科学基金资助项目(LY14F010007);宁波市自然科学基金资助项目(2012A610061);宁波市自然科学基金资助项目(2012A610016);“信息与通信工程”浙江省重中之重学科开放基金资助;Zhejiang Information and Communication Engineering Open Foundation of the Most Important Subjects(xkxl1412)
- DOI：10.11959/j.issn.1000-0801.2015011
  中图分类号：
- 网络出版日期：2015-02，
  
  纸质出版日期：2015-02-15
- 稿件说明：
移动端阅览
吴耀辉, 李有明, 金丽萍, 等. 基于不完备CSI的OFDMA公平资源分配算法[J]. 电信科学, 2015,31(2):63-68.

Yaohui Wu, Youming Li, Liping Jin, et al. Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI[J]. Telecommunication science, 2015, 31(2): 63-68.
吴耀辉, 李有明, 金丽萍, 等. 基于不完备CSI的OFDMA公平资源分配算法[J]. 电信科学, 2015,31(2):63-68. DOI： 10.11959/j.issn.1000-0801.2015011.

Yaohui Wu, Youming Li, Liping Jin, et al. Fair Resource Allocation Algorithm for OFDMA System with Imperfect CSI[J]. Telecommunication science, 2015, 31(2): 63-68. DOI： 10.11959/j.issn.1000-0801.2015011.

摘要

针对在信道状态信息不完备时，很难兼顾系统容量和公平性这一问题，通过引入公平松弛因子，提出一种公平性可调的遍历容量最大化资源分配算法。为了降低计算复杂度，在利用对偶优化方法求解拉格朗日算子过程中，提出同层循环迭代的搜索方式以代替传统的内外层循环迭代方式。通过仿真和分析表明，该算法在满足公平性的同时实现了遍历容量最大化，且计算复杂度明显降低。

Abstract

Existing resource allocation algorithms can't balance system capacity and fairness well when the channel state information is imperfect. In order to solve this problem

a fair resource allocation algorithm was proposed to maximize the system ergodic capacity

while the fairness could be adjusted flexibly by introducing the fairness relaxation factor. In order to reduce the complexity in the use of dual optimization method for solving the lagrange operator process

an iteration searching method in the same layer was proposed to replace the traditional multi-layer iteration searching method. Simulation results show that the proposed algorithm can effectively maximize the system ergodic capacity and guarantee the fairness

while the computational complexity was reduced significantly.

关键词

Keywords

references

Jang J , Lee K B . Transmit power adaptation for multiuser OFDM systems . IEEE Journal on Selected Areas Communications , 2003 , 21 ( 2 ): 171 ～ 178

Liu Y F , Dai Y H . On the complexity of joint subcarrier and power allocation for multi-user OFDMA systems . IEEE Transactions on Signal Processing , 2014 , 62 ( 3 ): 583 ～ 596

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

杜娜，顾品标，闵锐．一种低复杂度基于公平性的 MIMO-OFDMA资源分配方案．电子与信息学报， 2010 , 32 ( 4 ): 770 ～ 774

Du N , Gu P B , Min R . A low complexity resource allocation scheme with proporional fairness for MIMO-OFDMA system . Journal of Electronics&Information Technology , 2010 , 32 ( 4 ): 770 ～ 774

汪照，李有明，陈斌．基于鱼群算法的OFDMA 自适应资源分配．物理学报， 2013 ( 12 )

Wang Z , Li Y M , Chen B . OFDMA adapive resource allocation based on fish swarm algorithm . Acta Physica Sinica , 2013 ( 12 )

吴耀辉，李有明，邵鹏飞．一种新型的OFDMA比例公平资源分配算法．电信科学， 2014 , 30 ( 6 ): 79 ～ 85

Wu Y H , LI Y M , Shao P F . A noval resource allocation for OFDMA system with proportional fairness . Telecommuications Science , 2014 , 30 ( 6 ): 79 ～ 85

Kuhne A , Klein A . Throughput analysis of multi-user OFDMA-systems using imperfect CQI feedback and diversity techniques . IEEE Journal on Selected Areas in Communications , 2008 , 26 ( 8 ): 1440 ～ 1450

Yao Y , Giannakis G B . Rate-maximizing power allocation in OFDM based on partial channel knowledge . IEEE Transactions on Wireless Communications , 2005 , 4 ( 3 ): 1073 ～ 1083

Wong I C , Evans B L . Optimal resource allocation in the OFDMA downlink with imperfect channel knowledge . IEEE Transaction on Communications , 2009 , 57 ( 1 ): 232 ～ 241

Awad M K , Mahinthan V , Mehrjoo M . A dual-decomposition- based resource allocation for OFDMA networks with imperfect CSI . IEEE Transactions on Vehicular Technology , 2010 , 59 ( 5 ): 2394 ～ 2403

George M , Koilpillai R D . Fairness-based resource allocation in OFDMA downlink with imperfect CSIT . 2013 International Conference on Wireless Communications & Signal Processing , Hangzhou,China , 2013

Li J , He C , Jiang L G . An proportional fair resource allocation in OFDM-based cognitive radio networks under imperfect channel-state information . Proceedings of IEEE Wireless Communications and Networking Conference , Shanghai,China , 2013 : 1814 ～ 1818

Yu W , Cioffi J M . FDMA capacity of Gaussian multiple-access channels with ISI . IEEE Transactions on Communications , 2002 , 50 ( 1 ): 102 ～ 111

Jain R , Chiu D , Hawe W . A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer Systems . DEC Research,Tech Rep TR-301 , 1984

Palomar D P , Chiang M . A tutorial on decomposition methods for network utility maximization . IEEE Journal on Selected Areas in Communications , 2006 , 24 ( 8 ): 1439 ～ 1451

浏览量

527

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

一种新型的OFDMA比例公平资源分配算法

基于OS-MBRL的网络切片资源动态分配方法研究

基于深度强化学习的毫米波大规模MIMO系统资源联合优化

面向多元可控负荷调控的云边协同负荷资源分配策略

工业物联网中基于任务紧急程度的资源分配算法