摘要
采用贪心策略设计了一种基于干扰管理的无线网络跨层算法。首先建立了基于干扰管理的无线网络跨层设计模型,该模型是一个混合整数规划模型,无法在多项式时间内求解。为此在保证最大化信噪比的前提下,通过研究瓶颈节点对网络吞吐量的影响,提出了一种基于贪心策略的跨层设计算法。该算法通过迭代不断扩大瓶颈节点的数据传输率,进而优化整个网络的吞吐量。仿真结果表明该算法在优化效果上比已有算法提高了29.10%,在运算速度上比已有算法有成百倍的提高。
A cross-layer algorithm for the wireless network with interference management based on the greedy policy design is proposed. First, a suitable cross-layer design model for the wireless network is established. It is a mixed integer programming model and cannot be solved within polynomial time in general. To solve it, based on ensuring the maximization of signal-to-noise ratio, after studying the influence of the bottleneck nodes on the network capacity, the cross-layer algorithm is proposed. The algorithm can expand the data transmission by iteration, thereby optimize the throughput of the entire network. The simulation results show that the throughput is increased by 29.10% than the existing algorithm, and the computing speed is improved by hundreds of times than the existing algorithm.
出处
《电子测量与仪器学报》
CSCD
2013年第11期1005-1010,共6页
Journal of Electronic Measurement and Instrumentation
基金
教育部博士点基金(20100111110004)
安徽省自然科学基金(1208085QF113)资助项目
关键词
干扰管理
串行干扰消除
跨层设计
混合整数线性规划
interference management
successive interference cancellation
cross-layer design
mixed-integer linear programming