基于干扰对齐的井下多跳无线传感网络优化

An interference alignment based optimization scheme of multi-hop wireless sensor network in underground mines

针对井下多输入多输出(multiple-input multiple-output,MIMO)无线传感网络中节点间的通信干扰问题,文章提出基于干扰对齐(interference alignment,IA)的井下多跳MIMO网络优化方法。首先进行系统模型设定并详细讨论了IA原理,然后给出发送节点数据流预编码向量的构造策略,最后以最大化网络吞吐量为目标建立优化模型,并进一步将其转化为混合整数线性规划(mixed-integer linear programming,MILP)问题。仿真结果表明,所提IA策略比传统干扰消除策略的平均网络吞吐量提高45%。

In view of the interference between nodes in wireless sensor network with multiple-input multiple-output(MIMO)technology in underground mines,an interference alignment(IA)based optimization scheme of multi-hop wireless sensor network in underground mines is presented.Firstly,the system model and the principle of IA were addressed in detail.Then,the solution about how to construct pre-coding vectors for every stream from transmitting nodes was figured out.The goal of maximizing whole network throughout finally converted system model into mixed-integer linear programming(MILP)problem.The simulation results show that the proposed scheme achieves a 45%increase in average throughout when compared with traditional schemes.