在多跳多基站无线网络环境下,设计了一种基于干扰管理的高容量跨层优化策略。算法的物理层采用串行干扰消除实现干扰管理,在上层首先通过Voronoi图实现区域划分,然后基于节点的最小跳数建立每个节点到基站的初始链路分配和多跳路由方案,之后通过多时间片分配或多跳路由的节点选取对方案进行优化,并通过迭代的方式寻找吞吐量更大的优化策略。理论分析证明了该方案具有多项式时间复杂度,仿真结果显示引入了干扰管理相关技术后,整个网络的吞吐率有2到5倍的提升。
A high-throughput cross-layer optimization strategy based on the interference management for the multi-hop multi-base-station wireless network environment was proposed.In the physical layer the successive interference cancellation was used to realize the interference management.In the up layers,first the Voronoi algorithm was used to achieve the zoning,second based on the min-hop algorithm,the initial link allocation and multi-hop routing scheme was established,third optimize the scheme based on the multi-time-slot allocating or multi-hop routing,and at last try to find a better strategy in each iteration.Theoretical analysis shows that the strategy has a polynomial time complexity,and the simulation results show that the entire network throughput has a 2 to 5 fold increase by using interference management.