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基于分布式干扰对齐的自适应选择机制
引用本文:刘晓菲,艾 渤,宋 华,李宗强.基于分布式干扰对齐的自适应选择机制[J].太赫兹科学与电子信息学报,2015,13(1):64-70.
作者姓名:刘晓菲  艾 渤  宋 华  李宗强
作者单位:School of Electronics and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;State Key Lab of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China;School of Telecommunication Engineering,Engineering University of Armed Police Force,Xi’an Shaanxi 710086,China;School of Telecommunication Engineering,Engineering University of Armed Police Force,Xi’an Shaanxi 710086,China
摘    要:干扰对齐技术是未来移动通信系统提高网络容量的一种可能的技术手段,也是目前干扰消除技术的研究热点。现存的研究结果中没有一种准则能够在所有信噪比条件下性能均优于其他算法。在对已有算法进行深入研究的基础上,提出一种自适应选择机制,该机制可以使通信双方根据当前通信条件选择最优准则实现干扰对齐。仿真结果表明,本文所提算法与单一算法相比,在获取相同数据速率的条件下最大可获得5 dB的信噪比增益。

关 键 词:分布式干扰对齐  信道状态信息  数据速率  信噪比  自适应选择
收稿时间:4/8/2014 12:00:00 AM
修稿时间:2014/5/27 0:00:00

Adaptive selection mechanism based on distributed interference alignment
LIU Xiaofei,AI Bo,SONG Hua and LI Zongqiang.Adaptive selection mechanism based on distributed interference alignment[J].Journal of Terahertz Science and Electronic Information Technology,2015,13(1):64-70.
Authors:LIU Xiaofei  AI Bo  SONG Hua and LI Zongqiang
Abstract:Interference Alignment(IA) technology shows a great potential to improve the capacity of future wireless network immensely, and it becomes a research focus in interference elimination field. Nevertheless, among the existing distributed algorithms like Minimum Interference Leakage(MIL), maximum-SINR (max-SINR) and Minimum Mean Square Error(MMSE), there is no such an optimal solution that could outperform the others throughout the SNR values. Based on a diversity analysis on existing standards, an adaptive selection mechanism is proposed, helping both transmission parties choose the optimal algorithm according to the communication condition. The simulation results show that compared with mono-algorithm, the newly proposed selection scheme can achieve as much as 5 dB SNR gain when the same data rate is obtained.
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