Voice capacity analysis of WLAN with unbalanced traffic

Cai, Lin X.; Shen, Xuemin; Mark, Jon W.; Xiao, Yang

doi:10.1109/tvt.2006.874145

Cited by 191 publications

(146 citation statements)

References 12 publications

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“…A fixed point is a parameter, based on which the stochastic MAC behavior of a certain user can be completely characterized, independent of other users. The fixed point technique has been applied both to obtain the transition probabilities for Markov [6], [21] and to derive the user-specific queueing system with TUA modeling [7]- [9], [16], [22] . One aspect of the complexity associated with the protocolspecific analysis is to properly determine the fixed point.…”

Section: Related Workmentioning

confidence: 99%

A Protocol-Independent Approach for Analyzing the Optimal Operation Point of CSMA/CA Protocols

2009

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Abstract-This paper presents a protocol-independent approach to reveal a new insight into the performance of carrier sense multiple access with collision avoidance (CSMA/CA) protocols: the family of CSMA/CA protocols, independent of implementation details, share the same optimal operation point where the maximum protocol capacity is achieved. The protocolindependent analysis is inspired by the concept of virtual time slot. At the timescale of virtual-slot, all the CSMA/CA protocols show the same behavior pattern and, therefore, a generic virtualslot based S-G (VS S-G) analysis is developed to compute the optimal operation point. The accuracy of the VS S-G analysis is benchmarked against the precise protocol-specific analysis, in particular, for the 802.11 distributed coordination function (DCF) and the 802.15.4 contention access period (CAP). Furthermore, this paper discusses how to integrate the network-layer queueing analysis with the VS S-G analysis at the medium access control (MAC) layer to form a generic cross-layer framework for calllevel network capacity analysis.

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Section: Related Workmentioning

confidence: 99%

A Protocol-Independent Approach for Analyzing the Optimal Operation Point of CSMA/CA Protocols

2009

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“…A group of studies mainly concentrated on capacity analysis of only Voice-over-IP traffic for DCF and did not consider traffic differentiation [28]- [33]. Gao et al [34] and Cheng et al [35] calculated VoIP capacity of the WLAN when CW differentiation among uplink and downlink flows are used.…”

Section: B Capacity Analysis and Admission Control In Edcamentioning

confidence: 99%

“…3 . We do not provide any comparison with [30]- [32] the over-admission problems of which are already shown in [33]. Table I and Fig.…”

Section: Validationmentioning

confidence: 99%

Multimedia Capacity Analysis of the IEEE 802.11e Contention-Based Infrastructure Basic Service Set

Inan

Keceli

Ayanoğlu

2008

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

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We first propose a simple mathematical analysis framework for the Enhanced Distributed Channel Access (EDCA) function of the recently ratified IEEE 802.11e standard. Our analysis considers the fact that the distributed random access systems exhibit cyclic behavior. The proposed model is valid for arbitrary assignments of AC-specific Arbitration Interframe Space (AIFS) values and Contention Window (CW) sizes and is the first that considers an arbitrary distribution of active Access Categories (ACs) at the stations. Validating the theoretical results via extensive simulations, we show that the proposed analysis accurately captures the EDCA saturation performance. Next, we propose a framework for multimedia capacity analysis of the EDCA function. We calculate an accurate stationand AC-specific queue utilization ratio by appropriately weighing the service time predictions of the cycle time model for different number of active stations. Based on the calculated queue utilization ratio, we design a simple model-based admission control scheme. We show that the proposed call admission control algorithm maintains satisfactory user-perceived quality for coexisting voice and video connections in an infrastructure BSS and does not present over-or under-admission problems of previously proposed models in the literature.

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“…where τ v and τ d are the voice and data flow's transmission probabilities in a slot, respectively, given by [15] …”

Section: Wlan Model For Capacity Analysismentioning

confidence: 99%

“…Let ξ 1 (n 1 , n 2 ) and ξ 2 (n 1 , n 2 ) denote the voice and data packet service rates, respectively. Based on an analytical method similar to those in [1,15,16], we further have…”

Section: Wlan Model For Capacity Analysismentioning

confidence: 99%

Improving Voice and Data Services in Cellular/WLAN Integrated Networks by Admission Control

Song

Cheng

Zhuang

2007

IEEE Trans. Wireless Commun.

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Abstract-In this paper, we study voice and data service provisioning in an integrated system of cellular and wireless local area networks (WLANs). With the ubiquitous coverage of the cellular network and the disjoint deployment of WLANs in hot-spot areas, the integrated system has a two-tier overlaying structure. As an essential resource allocation aspect, admission control can be used to properly admit voice and data calls to the overlaying cells and WLANs. A simple admission scheme is proposed in this study to analyze the dependence of resource utilization and the impact of user mobility and traffic characteristics on admission parameters. Both admission control and rate control are considered to limit the input traffic to the WLAN, so that the WLAN operates in its most efficient states and effectively complements the cellular network. The call blocking/dropping probabilities and data call throughput are evaluated for effective and accurate derivation of the admission parameters. It is observed that the utilization varies with the configuration of admission parameters, which properly distributes the voice and data traffic load to the cells and WLANs. Mobility and traffic variability have a significant impact on the selection of the admission parameters.Index Terms-Cellular/WLAN interworking, quality of service, call admission control, rate control, WLAN capacity.

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Voice capacity analysis of WLAN with unbalanced traffic

Cited by 191 publications

References 12 publications

A Protocol-Independent Approach for Analyzing the Optimal Operation Point of CSMA/CA Protocols

A Protocol-Independent Approach for Analyzing the Optimal Operation Point of CSMA/CA Protocols

Multimedia Capacity Analysis of the IEEE 802.11e Contention-Based Infrastructure Basic Service Set

Improving Voice and Data Services in Cellular/WLAN Integrated Networks by Admission Control

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