电子学报 ›› 2016, Vol. 44 ›› Issue (8): 1947-1955.DOI: 10.3969/j.issn.0372-2112.2016.08.025

• 学术论文 • 上一篇    下一篇

基于分簇门限反馈的机会波束成形算法研究

陈兴旺, 许小东   

  1. 中国科学院无线光电通信重点实验室, 中国科学技术大学信息科学技术学院, 安徽合肥 230027
  • 收稿日期:2014-12-26 修回日期:2015-05-15 出版日期:2016-08-25
    • 作者简介:
    • 陈兴旺 男,1988年生,安徽宿州人,中国科学技术大学硕士研究生,研究方向为MIMO预编码技术、通信信号处理.E-mail:cxwang@mail.ustc.edu.cn;许小东 男,1976年生,安徽无为人,中国科学技术大学电子工程与信息科学系副教授,研究方向为宽带无线通信系统与信号处理.E-mail:xdxu@ustc.edu.cn
    • 基金资助:
    • 国家863高技术发展研究计划 (No.2012AA01A502); 国家自然科学基金 (No.61271272)

Orthogonal Random Beamforming Based on Clustering and Feedback Threshold

CHEN Xing-wang, XU Xiao-dong   

  1. Key Laboratory of Wireless-Optical Communications, Chinese Academy of Sciences, School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui 230027, China
  • Received:2014-12-26 Revised:2015-05-15 Online:2016-08-25 Published:2016-08-25
    • Supported by:
    • Program of National High-tech R&D Program of China  (863 Program) (No.2012AA01A502); National Natural Science Foundation of China (No.61271272)

摘要: 在波束间存在干扰的小区通信场景中,研究满足反馈用户数约束条件时,如何有效运用机会波束成形(ORBF)算法实现和速率最大化的问题.针对该问题,提出了一种基于分簇门限反馈的ORBF算法.首先,将问题建模为基于反馈用户数约束的和速率最大化优化问题.然后,根据用户信噪比信息对小区内各用户进行分簇处理,并在各簇内利用极值理论工具独立设置反馈门限.最终,在分簇基础上构造出多门限反馈的ORBF算法.对算法性能进行理论分析,获得了和速率损失量上界的闭合表达式以及多用户分集增益的渐进形式.仿真实验验证了理论分析的正确性,同时表明,该算法与经典ORBF算法相比,能够在极大降低反馈量的同时取得很好的和速率性能.

关键词: 机会波束成形, 波束间干扰, 分簇, 反馈门限

Abstract: This paper considers how to obtain the maximum sum-rates by using the orthogonal random beamforming (ORBF) technique under the constraint on the average number of feedback users in the context of facing inter-beam interference scenarios.Aiming to solve this problem,a novel ORBF algorithm based on clustering and feedback threshold is proposed.The users are divided into multiple clusters according to their SNRs.The corresponding feedback threshold in each cluster is calculated by the tool of extreme value theory.Finally,the new ORBF algorithm is constructed based on clustering and multiple thresholds.We make some theoretical analysis on the algorithm and derive the upper bound of sum-rates loss;the scaling law of multiuser diversity gain is also exhibited.Simulation results not only verify the validity of our analysis but also show that,when compared with the classical ORBF technique,the proposed algorithm can considerably reduce the feedback load with a good sum-rates performance.

Key words: random beamforming, inter-beam interference, clustering, feedback threshold

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