IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference 2007
DOI: 10.1109/glocom.2007.1012
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Performance Analysis of IPTV Traffic in Home Networks

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Cited by 21 publications
(11 citation statements)
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“…For the PCA-only and hybrid MAC, we use the frame service time for the largest video frame (around 327 KB) as the admission criterion, i.e., it is estimated as the number of packets being transmitted in PCA periods times the frame service time of PCA. For the DRP-only MAC, we can determine the MAS slots needed for each video by (8), and then the admission region accordingly.…”
Section: Admission Regionmentioning
confidence: 99%
“…For the PCA-only and hybrid MAC, we use the frame service time for the largest video frame (around 327 KB) as the admission criterion, i.e., it is estimated as the number of packets being transmitted in PCA periods times the frame service time of PCA. For the DRP-only MAC, we can determine the MAS slots needed for each video by (8), and then the admission region accordingly.…”
Section: Admission Regionmentioning
confidence: 99%
“…In [29], the authors present an interesting architecture design for distributing triple play services over a wireless mesh in-home network. In [28], the same authors propose a wireless and wired network architecture based on in-home IPTV distribution.…”
Section: Related Workmentioning
confidence: 99%
“…The Markov model of the video sources and that of the wireless paths can be combined together mathematically, so the queuing delay distribution and packet loss probability due to buffer overflow can be derived as functions of the number of video sources and the buffer size. Then, we can obtain the admission regions of both the wired and wireless networks with a guaranteed loss rate and delay jitter [6].…”
Section: Analytical Frameworkmentioning
confidence: 99%
“…We developed a finite state Markov chain for a single hop wireless channel as follows: each state corresponds to a different SNR range and thus a different data rate, and the statetransition probabilities are chosen according to the time-correlation of the wireless channel. Similarly, a Markov chain can be developed for a multihop wireless path: each state corresponds to certain SNR ranges for each hop [6]. We use the Markov chain to model the packet-level wireless channel behavior for both the analysis and simulations.…”
Section: System Modelmentioning
confidence: 99%
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