采用干扰对齐的无线网络容量分析

Transmission Capacity of Wireless Networks with Interference Alignment

首先利用基于随机几何的修正BM模型对于无线网络中的干扰信道进行了建模,然后分析了接收信号中干扰的不同特性及其对中断概率和空间容量的影响。为了降低干扰信号的影响,文中提出了基于干扰对齐的干扰管理方法。利用将K个干扰用户的干扰信号在一个子空间内对齐,可以有效地减小干扰的影响,因而有效地提高系统的容量。仿真结果表明,在父节点的密度较小的情况下,即使有限的干扰对齐也能以可接受的复杂度实现有效的容量提高。

In this paper, a modified stochastic geometry based Boolean Model（BM） for wireless networks is described. The model is adopted to derive the inter and intra cell interference. The outage probability and the spatial transmission capacity affected by the interference are analyzed. To alleviate the interfer- ence effects, Interference Alignment （IA） techniques are introduced. By aligning the K interfering signals along the same sub-space, interference effects can be greatly reduced and thus higher node density can be allowed. The simulation results suggest that if the parent nodes are sparsely distributed, even limited IA techniques can efficiently improve the soatial transmission capacity at an acceptable price of complexity.