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An Optimal Vertical Handoff Decision Algorithm for Multiple Services with Different Priorities in Heterogeneous Wireless Networks

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Abstract

Heterogeneous wireless networks (HWNs) have aroused numerous interest in the past few years in which efficient vertical handoff algorithms are currently attracting much attention. This paper takes into account the vertical handoff decision algorithm in HWNs where multiple types of services with different priorities are supported. By modeling the vertical handoff process as a Markov decision process, a new reward function is introduced which consists of both quality of service profit and handoff cost. Meanwhile in the proposed reward function, multiple network parameters are included for a comprehensive evaluation of the network utilization. Moreover, considering multiple services with different priorities, an online dynamic bandwidth reservation scheme is proposed based on large deviation principle. This scheme, by estimating possible bandwidth request in future time slots, reserves the bandwidth resource adaptively in advance such that the call blocking probability as well as handoff dropping probability can be guaranteed to be within an admissible range. Simulation results show that the proposed vertical handoff decision algorithm can decrease the expected handoff number by about 15–22 % and significantly increase the expected total reward compared with existing results.

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Acknowledgments

This work is supported by National Natural Science Foundation (NNSF) of China under Grant 61374073, 60904021, Anhui Provincial Natural Science Foundation under Grant 1308085QF107 and the Fundamental Research Funds for the Central Universities under Grant WK2100000003.

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Correspondence to Jin Zhu.

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Zhu, J., Xu, L., Yang, L. et al. An Optimal Vertical Handoff Decision Algorithm for Multiple Services with Different Priorities in Heterogeneous Wireless Networks. Wireless Pers Commun 83, 527–549 (2015). https://doi.org/10.1007/s11277-015-2407-1

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  • DOI: https://doi.org/10.1007/s11277-015-2407-1

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