CAC for VoIP Traffic over Wireless Systems with Voice Activity Detection and Background Noise Transmission

Mihov, Yakim Y.; Kassev, Kiril; Kalaydzhieva, Adriana; Tsankov, Boris

doi:10.1109/ntms.2009.5384733

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…As stated in [15], for VoIP admission control, only few studies consider call level performance in terms of call blocking probability. In this research direction, authors in [2] and [18], considering a bufferless fluid-flow approach, proposed a VoIP packet loss model to determine the call admission threshold in wireless access transmission media to satisfy QoS constraints in terms of packet dropping and call blocking probabilities. In a previous work reported in [24], we developed a joint call and packet level discrete time teletraffic model for the performance evaluation of three proposed local CAC strategies for VoIP traffic over wireless access networks with packet buffering.…”

Section: Previously Published Related Workmentioning

confidence: 99%

Simplified joint call and packet level teletraffic analysis of CAC strategies for VoIP traffic in wireless networks

Castellanos-Lopez

Cruz-Perez

Rivero-Ángeles³

et al. 2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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In this paper, a simplified joint call and packet level teletraffic analysis method for performance evaluation of call admission control (CAC) strategies for voice over IP (VoIP) traffic over wireless access networks is proposed. The admission criterion of new sessions of the considered CAC strategies is based on either the total number of sessions or the number of active sessions. Arrivals and completions of VoIP sessions, on/off activity detection, and periodic and constant length packet generation of individual VoIP active sessions are modeled. Packet buffering, adaptive modulation coding, and proportional fair sharing scheduling are also considered. Our proposed analysis is based on the quantized queue and cross-level linked decomposition mechanisms that we introduce in this paper to drastically simplify the mathematical and computational procedures with no major impact on the accuracy of the results. The developed analysis allows evaluating the performance of the CAC strategies in terms of the most relevant QoS metrics of VoIP traffic at both call and packet level and, at the same time, mathematical and computational complexity are reduced with no major impact on the accuracy of numerical results.Keywords-Call admission control; VoIP; joint call and packet level analysis; time-scale decomposition; queue quantization; voice activity detection; session blocking; packet dropping probability.

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Section: Previously Published Related Workmentioning

confidence: 99%

Simplified joint call and packet level teletraffic analysis of CAC strategies for VoIP traffic in wireless networks

Castellanos-Lopez

Cruz-Perez

Rivero-Ángeles³

et al. 2012

2012 IEEE Wireless Communications and Networking Conference (WCNC)

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show abstract

“…terms of call blocking probability. In this research direction, authors in [2] and [18], considering a bufferless fluid-flow approach, proposed a VoIP packet loss model to determine the call admission threshold in wireless access transmission media to satisfy QoS constraints in terms of packet dropping and call blocking probabilities. However, the models proposed in [2] and [18] do not consider packet delay, which is one of the relevant QoS performance metric of VoIP traffic.…”

Section: Previously Published Related Workmentioning

confidence: 99%

Joint Call and Packet Level Performance Analysis of CAC Strategies for VoIP Traffic in Wireless

Castellanos-Lopez

Rivero-Ángeles

Hernandez-Valdez³

et al. 2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Call admission control (CAC) functionality is a critical requirement for guarantee the desired quality of service (QoS) for voice calls in IP-based wireless networks. In this paper, three different CAC strategies for voice over IP (VoIP) traffic over wireless access networks with packet buffering are mathematically analyzed through a joint call and packet level discrete time teletraffic model. The admission criterion (i.e., admission threshold) of new sessions of these strategies is based on either the total number of sessions, the number of active sessions (i.e., sessions in talk-spurt periods), or the number of packets queued in the buffer. Admission threshold and buffer size can be both controlled for QoS provisioning in terms of session blocking and packet dropping probabilities. Arrivals and completions of VoIP sessions, on/off activity detection, and periodic and constant length packet generation (of active sessions) of individual VoIP sessions are modeled. The developed teletraffic analysis allows to evaluate the performance of the CAC strategies in terms of the most relevant QoS metrics of VoIP traffic at both call and packet level (i.e., session blocking and packet dropping probabilities and packet delay). Finally, the maximum traffic attained by the different studied-CAC strategies (while QoS provisioning is guaranteed) is obtained.Keywords-Call admission control; VoIP; joint call and packet level analysis; QoS provisioning; voice activity detection; session blocking; packet dropping probability; packet delay.

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“…To combat the false alarm and misdetection under fading wireless channel, the space diversity and different combining schemes are incorporated with the sensing unit of SU shown in [10]. The traffic analysis of cognitive radio under Internet, specially for Voice over IP (VoIP) is discussed in [10]- [11]. When a PU requests for a physical channel, the SU on that channel is removed and the phenomenon is called forced termination (FT).…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Cognitive Radio Network Based on 2-D Markov Chain

Islam,

Rabbi,

Khan

et al. 2015

JTIT

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The objective of cognitive radio network is to enhance the wireless network spectrum utilization. In such a network, two types of users are enlisted, namely primary user (PU) and secondary user (SU). The PU can access any channel in case of its availability, but SU users have lower priority and can access a channel only when it is unused by PUs. The performance of such a network solely depends on two traffic parameters: probability of false alarm and probability of misdetection. In this paper the performance of such a network is analyzed based on two dimensional Markov chain including those parameters. The main contribution of this paper is to evaluate blocking probability and PU and SU throughput using the state transition chain instead of existing statistical analysis.

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CAC for VoIP Traffic over Wireless Systems with Voice Activity Detection and Background Noise Transmission

Cited by 4 publications

References 30 publications

Simplified joint call and packet level teletraffic analysis of CAC strategies for VoIP traffic in wireless networks

Simplified joint call and packet level teletraffic analysis of CAC strategies for VoIP traffic in wireless networks

Joint Call and Packet Level Performance Analysis of CAC Strategies for VoIP Traffic in Wireless

Performance Evaluation of Cognitive Radio Network Based on 2-D Markov Chain

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