Conference Paper

Codec-based adaptive QoS control for VoWLAN with differentiated services

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Abstract

Voice over Wireless LAN (VoWLAN) is becoming more and more helpful in our life and is expected to be among the most important applications in next generation networks. However, the maximum number of VoIP sessions that a WLAN can ensure is very small. Moreover, when the WLAN reaches its capacity the addition of one VoIP session affects the QoS parameters of all VoIP sessions. In this paper, we propose an adaptive technique to ensure the active VoIP sessions of users with high priority (from a provider perspective). Thus, in order to guarantee the quality of high priority sessions, we propose to downgrade the quality (low but acceptable MOS) of user sessions with low priority by changing their used codecs (e.g., ITU G729 instead of ITU G711). This technique and all related monitoring functions are defined into the proposed session-based QoS management architecture. In order to validate our approach a complete test-bed is made up by which we have performed some feasibility and gain tests.

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... Also, VoIP can be deployed in different structures of networks; ad hoc, mesh, and WLAN. Due to the features of VoIP over WLAN (VoWLAN), it is now getting the attention of not only from researchers, but also from Internet Service Providers (ISP) [8]. ...
... Since no specific codec can work well in all network conditions [7], developing codec adaptive techniques have been proposed. Although developing this mechanism is still in its early stage [12], different adapting codec rate schemes were proposed particularly for real-time applications in wired [8], wireless, or WLAN networks. ...
... In [27], a cross-layer adaptive rate control (CLARC) method has been presented for video application. In [8] the proposed framework designed to ensure good quality of service to higher priority users (specified by ISP), and adjust the codec rate of user with lower priority. ...
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... Some mechanisms implement the planning agent in an intermediate node, which can be a media gateway [Galiotos et al. 2002;Trad et al. 2004], a wireless access point performing cross-layer QoS management [Chen et al. 2011;Sfairopoulou et al. 2007;Kawata and Yamada 2006;Tüysüz and Mantar 2010], or a dedicated QoS management node [Gardner et al. 2003;Tebbani and Haddadou 2008]. ...
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VoIP calls are sensitive to several impairments, such as delay and packet loss. One way to overcome these problems is by adaptively adjusting application-layer parameters to keep a minimum speech quality level. At the heart of self-adaptive systems lies a feedback loop, which consists of four key activities: monitoring, analysis, planning, and execution. Nevertheless, the existing adaptive approaches to QoS control of VoIP do not explicitly exhibit this feedback loop. Bringing it to surface can help developers in designing more robust and human-independent VoIP systems. This survey presents a comprehensive review of the current state-of-the-art research on speech quality adaptation of VoIP systems at the application layer and some research challenges on this subject.
... When buffer is out of threshold, it changes the codec rate of a node to prevent possible losses. There are also some other works deal with QoS by changing the codecs of nodes such as in [11]. However, it does not use RTCP feedback to understand the channel quality. ...
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... A similar research undertaking in [7] has shown that VoIP capacity measured in simulations and testbeds can given similar results, provided limitation in the two methods are addressed appropriately. Increasing VoIP capacity on wireless LAN, by changing CODEC, is researched in [8] and [9]. Using buffering to enhance transmission on a mobile IPv6 network has been experimentally evaluated in [10]. ...
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... In [19], Tebbani and Haddadou try to guarantee the QoS of high priority calls against the low priority ones (where priority is determined by the SLAs agreement that users establish with providers) by "down-switching" codec and packetization interval of one or more low priority calls based on a set of information (call and user ID, call codec, session duration, packet loss and end-to-end delay, etc.). Their focus is not on the multirate effects but on the congestion provoked by the existence of additional VoIP sessions on the cell, and the algorithm focuses on adapting existing low priority calls in favor of the high priority ones. ...
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