太赫兹科学与电子信息学报Issue(1)：64-70,7.DOI:10.11805/TKYDA201501.0064
基于分布式干扰对齐的自适应选择机制
Adaptive selection mechanism based on distributed interference alignment
摘要
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.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Key words
distributed interference alignment/channel state information/data rate/SNR value/adaptive selection分类
信息技术与安全科学引用本文复制引用
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,(1):64-70,7.基金项目
This work was supported in part by the Fundamental Research Funds for the Central Universities(Grant No.2010JBZ008), by the National Natural Science Foundation of China(Grants No.61222105 and No.U1334202), by the Project of State Key Laboratory of Rail Traffic Control and Safety(Grant No.RCS2014ZT11), and by the Key Project of the Chinese Ministry of Education(Grant No.313006) （Grant No.2010JBZ008）
