基于马尔科夫过程的异构网络性能分析与优化
doi: 10.3724/SP.J.1146.2012.00251
Performance Analysis and Optimization Based on Markov Process for Heterogeneous Wireless Networks
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摘要: 该文给出了一种基于马尔科夫过程的异构网络性能优化方法。该方法将用户的移动性作为影响系统性能的一个重要因素,通过切换率来反映用户的移动性,并采用马尔科夫过程来分析异构网络的系统性能,得到异构网络系统的总吞吐量表达式。考虑到在两个网络的重叠区域用户需要选择接入的网络,将在重叠区域选择其中一个网络的业务到达率占该区域总的业务到达率的比例作为一个优化因子,通过选择合适的因子来最大化系统的吞吐量,最后通过黄金分割法来求解该优化问题。仿真结果表明,该算法能够有效提高异构网络系统的吞吐量,改善异构网络中无线资源的利用率。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.
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