Performance Analysis and Optimization Based on Markov Process for Heterogeneous Wireless Networks
Shi Zheng Zhu Qi
Jiangsu Province Key Lab of Wireless Communications, Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract：A method of performance optimization is proposed based on Markov process in Heterogeneous Wireless Networks (HWNs) consisting of diverse wireless networks. The method takes users’ mobility as an important factor affecting system performance, and users’ mobility is embodied by handoff rate. Then the system performance of HWNs based on Markov process is analyzed, and the expression of total throughput is obtained for the performance analysis of HWNs. Considering that the users in the overlapping region of two wireless networks need to select one of them to access, the proportion of service arrival rate accessing to one of the networks to the total service arrival rate in the overlapping region is regarded as an optimized factor for performance analysis. The throughput of the HWNs’ system is maximized by choosing appropriate factor. Finally, the optimization issue is worked out based on golden section method. The simulation results show that the optimization algorithm can effectively enhance the throughput of HWNs, and improve the resources’ utilization of wireless networks.
施政, 朱琦. 基于马尔科夫过程的异构网络性能分析与优化[J]. 电子与信息学报, 2012, 34(9): 2224-2229.
Shi Zheng, Zhu Qi. Performance Analysis and Optimization Based on Markov Process for Heterogeneous Wireless Networks. , 2012, 34(9): 2224-2229.
2012, Vol. 34 
