UDN中基于上下行对偶性的分布式干扰协调

Distributed interference coordination method based on uplink and downlink duality in ultra-dense networks (UDN)

  • 摘要: 针对超密集网络(UDN,Ultra-Dense Networks)中的小区间干扰问题,提出一种基于上下行对偶性的分布式干扰协调方法。首先设计了新的TDD帧格式,在原有LTE标准的基础上加入了信道估计部分与上下行迭代部分;接着利用网络的对偶原理,设计了新的迭代干扰处理算法,将最大化信干噪比和最小化残留干扰相综合,实现最大全网和数据的优化目标。理论分析和仿真结果表明,基于最大信漏噪比准则选取迭代初值时,可在一次迭代后达到较好的和数据率性能;并且该方法能在较短的时间内完成干扰协调,只需要已知局部信道信息,在UDN中易于实现,性能上优于其它分布式迭代干扰处理算法。

     

    Abstract: To solve the inter-cell interference problem in ultra-dense networks (UDN), a distributed interference coordination method based on network duality is proposed. Firstly, a new TDD frame format was designed, and the channel estimation stage and the iterative stage were added to the original frame format of LTE standards. Then due to the network duality, a new iterative interference coordination algorithm to maximize the network sum-rate was designed, combining the optimization goal of maximizing the signal to interference noise ratio (SINR) and the optimization goal of minimizing the residual interference. Theoretical analysis and simulation results show that good performance can be got after the first iteration, when the iterative initial value is set based on the maximizing signal to leak interference and noise ratio principle. And the method can complete in a relatively short period of time, need only local channel information, implement easily in the UDN, and outperform other distributed iterative interference coordination algorithms.

     

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