基于最优功率控制和马尔可夫链优化的异构无线网络  

Optimal power control and Markov chain optimization for heterogeneous wireless networks

作　　者：朱静宜[1] 张亶[2] 

机构地区：[1]浙江长征职业技术学院计算机与信息技术系,杭州310023 [2]浙江大学计算机科学与技术学院,杭州310027

出　　处：《计算机应用研究》2015年第4期1211-1213,共3页Application Research of Computers

基　　金：浙江省自然科学基金资助项目(Y1100150)

摘　　要：为了提高异构无线网络的资源利用率以及网络吞吐量,提出一种基于最优功率控制和马尔可夫链优化的异构无线网络,通过建立异构网络模型对异构网络的业务负载情况进行分析,采用有限容量下的最优功率控制方法来使业务能够选择合适的接入网络,并采用基于马尔可夫链来进行网络吞吐量优化,在对不同形式的网络进行速率分配时,采用了多权重优化进行求解最优解,可以降低网络的阻塞情况,提高网络的利用效率。实验仿真结果及分析表明,该算法在提高网络吞吐量、减少网络利用效率上具有较好的效果。In order to improve resource utilization and network throughput for heterogeneous wireless networks,this paper proposed a heterogeneous wireless networks that based on optimal power control and Markov chain optimization,it analysed heterogeneous network traffic load by built a heterogeneous network model. It used the optimal power control method under limited capacity to make the business could select the appropriate network access,and based on Markov chain to optimize network throughput. It used a multi-weight optimization for solving the optimal solution to reduce the network congestion and improve the efficiency of the network in different forms of network allocation rate. Simulation results and analysis show that the algorithm has a good effect in improving network throughput,reduce network utilization efficiency.

关 键 词：异构网络 最优功率控制 马尔可夫链 多权值优化 

分 类 号：TN929.5[电子电信—通信与信息系统]