A low-complexity source encoding assisted multiple access protocol for voice/data integrated networks

Andres Kwasinski, Mehdi Alasti, K. J Ray Liu, Nariman Farvardin

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We present and evaluate the performance of a reduced complexity variation to the source encoding assisted multiple access (SEAMA) protocol for integrating voice and data over a wireless network. This protocol, denoted as slow movable-boundary SEAMA (SMB-SEAMA), uses the same embedded and multistate voice encoder used in the original SEAMA protocol. However, in SMB-SEAMA, the movable voice/data boundary is not set based on the frame-by-frame bandwidth demand of the voice subsystem, but on the number of ongoing voice calls and the acceptable average distortion level. This results in a protocol that, at the network layer, is packet switched for both voice and data; however, from the data traffic point of view, the voice looks like circuit switched. Analytical results show that SMB-SEAMA is a very efficient MAC protocol and presents a model for analyzing the performance of queuing systems with a variable number of servers, each with a constant service time. Consequently, while reducing the refreshing rate of the movable boundary by three orders of magnitude, simulation results demonstrate that SMB-SEAMA does not significantly degrade the system performance (less than 8% reduction in throughput) and it still performs better than packet reservation multiple access (PRMA), the other known packet-switched scheme, which updates the boundary during every transmit frame.

Original languageEnglish (US)
Pages (from-to)193-206
Number of pages14
JournalEurasip Journal on Applied Signal Processing
Volume2005
Issue number2
DOIs
StatePublished - Feb 1 2005
Externally publishedYes

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Network protocols
Network layers
Wireless networks
Servers
Throughput
Bandwidth
Networks (circuits)

Cite this

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A low-complexity source encoding assisted multiple access protocol for voice/data integrated networks. / Kwasinski, Andres; Alasti, Mehdi; Liu, K. J Ray; Farvardin, Nariman.

In: Eurasip Journal on Applied Signal Processing, Vol. 2005, No. 2, 01.02.2005, p. 193-206.

Research output: Contribution to journalArticle

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