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:

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。

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.