DocumentCode :
164385
Title :
Bounds on compressed voice channel capacity
Author :
Boloursaz, M. ; Kazemi, Riza ; Barazandeh, B. ; Behnia, F.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2014
fDate :
7-8 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
The voice channels present in cellular communication networks provide reliable, widespread and high priority communication mediums. Using these voice channels as a bearer for data transmission allows to deliver high Quality of Service data. But voice channels include vocoders that hinder the data flow by compressing the waveforms prior to transmission. Calculating vocoder channel capacity remains a challenging problem since no analytical model has been proposed for the vocoder channel so far. In this research, simplified models for the vocoder channel are proposed and bounds on vocoder channel capacity are derived based on them. In common cellular networks, the vocoder compression rate is adjusted adaptively according to the network´s traffic conditions which further complicates calculating an overall capacity for the voice channel. In this research, the Gilbert-Elliot channel model is applied to the cellular voice channel to enable the study of the effect of adaptive vocoder rate adjustment on overall voice channel capacity. Modeling the voice channel and calculating its capacity provides reference bounds for comparison with any newly proposed communication scheme over this channel.
Keywords :
cellular radio; channel capacity; data compression; quality of service; telecommunication network reliability; vocoders; Gilbert-Elliot channel model; adaptive vocoder rate adjustment; cellular communication networks; cellular voice channel; communication medium reliability; compressed voice channel capacity; data flow; data transmission; high-priority communication medium; network traffic condition; quality of service data; vocoder channel capacity; vocoder compression rate; voice channel modeling; waveform compression; Adaptation models; Channel capacity; Channel models; Data communication; Markov processes; Memory management; Vocoders; Adaptive Multi Rate Vocoder; Capacity Bounds; Gilbert-Elliot Channel Model; Voice Channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication and Information Theory (IWCIT), 2014 Iran Workshop on
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-4878-9
Type :
conf
DOI :
10.1109/IWCIT.2014.6842487
Filename :
6842487
Link To Document :
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