Abstract
In this paper, we propose a novel scheme for VoIP over WLANs, referred to as SRPA (Soft Reservation based Prioritized Access). To fully exploit the on/off characteristics of conversational speech to improve the VoIP capacity, SRPA adopts soft reservation where the reserved channel resources of voice users in silence periods can be released to support more backlogged voice users in talking periods. SRPA completely separates admitted voice users from new voice users, and the admitted voice users are given higher priority access to the channel, based on the fact that maintaining the QoS requirements of admitted voice calls is more important than admitting new voice calls. The dedicated contention period for admitted voice users is contention backoff window whose size is dynamically adjusted on the basis of estimation of the number of contending voice users. In addition, a two-state Markov model is derived for the proposed scheme to analyze the VoIP capacity. Both analysis and simulation results demonstrate that SRPA significantly improves the VoIP capacity while guaranteeing the strict QoS requirements of admitted voice calls in WLANs.
Keywords
This work was supported in part by the Program for New Century Excellent Talents in University of China under Grant NCET-13-0548, by the Innovation Foundation of the Chinese Academy of Sciences under Grand CXJJ-14-S132, by the Fundamental Research Funds for the Central Universities of China, and by the Natural Science Foundation of China (NSFC) under Grants 61202140 and 61328208. The work of Y. Fang was partially supported by US National Science Foundation under Grant CNS-1343356.
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Feng, B., Wang, Z., Zhang, C., Yu, N., Fang, Y. (2015). Soft Reservation Based Prioritized Access: Towards Performance Enhancement for VoIP over WLANs. In: Xu, K., Zhu, H. (eds) Wireless Algorithms, Systems, and Applications. WASA 2015. Lecture Notes in Computer Science(), vol 9204. Springer, Cham. https://doi.org/10.1007/978-3-319-21837-3_13
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DOI: https://doi.org/10.1007/978-3-319-21837-3_13
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