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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2008-04-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://dx.doi.org/10.1155/2008/695894 |
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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 |
work_keys_str_mv |
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