Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information

We study the relation between the stable throughput regions and the capacity regions for a Gaussian multiple-access channel. Our main focus is to study how the extent of side information about source arrival statistics and/or instantaneous queue states at each transmitter influence the achievable st...

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Main Authors: Ashutosh Sabharwal, Vaneet Aggarwal
Format: Article
Language:English
Published: SpringerOpen 2008-04-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://dx.doi.org/10.1155/2008/695894
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spelling doaj-7b91713c7fcd47deb4003e6c6af95a2c2020-11-25T00:24:48ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992008-04-01200810.1155/2008/695894Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side InformationAshutosh SabharwalVaneet AggarwalWe study the relation between the stable throughput regions and the capacity regions for a Gaussian multiple-access channel. Our main focus is to study how the extent of side information about source arrival statistics and/or instantaneous queue states at each transmitter influence the achievable stable throughput region. Two notions of MAC capacity are studied. The first notion is the conventional Shannon capacity which relies on large coding block lengths for finite SNR, while the second uses finite code blocks with high SNR. We find that the stable throughput region coincides with the Shannon capacity region for many scenarios of side information, where side information is defined as a mix of statistical description and instantaneous queue states. However, a lack of sufficient side information about arrival statistics can lead to a significant reduction in the stable throughput region. Finally, our results lend strong support to centralized architectures implementing some form of congestion/rate control to achieve Shannon capacity, primarily to counter lack of detailed information about source statistics at the mobile nodes.http://dx.doi.org/10.1155/2008/695894
collection DOAJ
language English
format Article
sources DOAJ
author Ashutosh Sabharwal
Vaneet Aggarwal
spellingShingle Ashutosh Sabharwal
Vaneet Aggarwal
Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information
EURASIP Journal on Wireless Communications and Networking
author_facet Ashutosh Sabharwal
Vaneet Aggarwal
author_sort Ashutosh Sabharwal
title Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information
title_short Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information
title_full Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information
title_fullStr Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information
title_full_unstemmed Slotted Gaussian Multiple Access Channel: Stable Throughput Region and Role of Side Information
title_sort slotted gaussian multiple access channel: stable throughput region and role of side information
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2008-04-01
description We study the relation between the stable throughput regions and the capacity regions for a Gaussian multiple-access channel. Our main focus is to study how the extent of side information about source arrival statistics and/or instantaneous queue states at each transmitter influence the achievable stable throughput region. Two notions of MAC capacity are studied. The first notion is the conventional Shannon capacity which relies on large coding block lengths for finite SNR, while the second uses finite code blocks with high SNR. We find that the stable throughput region coincides with the Shannon capacity region for many scenarios of side information, where side information is defined as a mix of statistical description and instantaneous queue states. However, a lack of sufficient side information about arrival statistics can lead to a significant reduction in the stable throughput region. Finally, our results lend strong support to centralized architectures implementing some form of congestion/rate control to achieve Shannon capacity, primarily to counter lack of detailed information about source statistics at the mobile nodes.
url http://dx.doi.org/10.1155/2008/695894
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