Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.

This paper considers the maximization of the sum capacity of a multiuser cooperative wireless network through the joint optimization of power allocation among source nodes and distributed beamforming weights across the relay nodes. The distributed beamforming techniques offer the capability of enhancing the sum network capacity by achieving spatial multiplexing to support concurrent communications of multiple source-destination pairs. In this paper, we consider a two-hop cooperative wireless network consisting of single-antenna nodes in which multiple concurrent links are relayed by a number of cooperative nodes. When a large number of relay nodes are available, the channels of the different source-destination pairs can be orthogonalized, yielding enhanced sum network capacity. Such an advantage is particularly significant in high signal-to-noise ratio (SNR) regime, in which the capacity follows a logarithm law with the SNR, whereas exploiting spatial multiplexing of multiple links yields capacity increment linear to the number of users. However, the capacity performance is compromised when the input SNR is low and/or when the number of relay nodes is limited. Joint optimization of source power allocation and distributed relay beamforming is important when the input SNR and/or the number of relay nodes are moderate or wireless channels experience different channel variances. In these cases, the joint optimization of source power and distributed beamforming weights achieves significant capacity increment over both source selection and equal source power spatial multiplexing schemes.

Main Author: Li, Xin.
Other Authors: Zhang, Yimin., Amin, Moeness G.
Language: English
Published: 2009
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173396
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dc_source_str_mv Proceedings of the IEEE Global Communications Conference, Honolulu, HI, November-December 2009.
author Li, Xin.
author_s Li, Xin.
spellingShingle Li, Xin.
Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
author-letter Li, Xin.
author_sort_str Li, Xin.
author2 Zhang, Yimin.
Amin, Moeness G.
author2Str Zhang, Yimin.
Amin, Moeness G.
dc_title_str Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
title Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
title_short Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
title_full Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
title_fullStr Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
title_full_unstemmed Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
collection_title_sort_str joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
title_sort joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
description This paper considers the maximization of the sum capacity of a multiuser cooperative wireless network through the joint optimization of power allocation among source nodes and distributed beamforming weights across the relay nodes. The distributed beamforming techniques offer the capability of enhancing the sum network capacity by achieving spatial multiplexing to support concurrent communications of multiple source-destination pairs. In this paper, we consider a two-hop cooperative wireless network consisting of single-antenna nodes in which multiple concurrent links are relayed by a number of cooperative nodes. When a large number of relay nodes are available, the channels of the different source-destination pairs can be orthogonalized, yielding enhanced sum network capacity. Such an advantage is particularly significant in high signal-to-noise ratio (SNR) regime, in which the capacity follows a logarithm law with the SNR, whereas exploiting spatial multiplexing of multiple links yields capacity increment linear to the number of users. However, the capacity performance is compromised when the input SNR is low and/or when the number of relay nodes is limited. Joint optimization of source power allocation and distributed relay beamforming is important when the input SNR and/or the number of relay nodes are moderate or wireless channels experience different channel variances. In these cases, the joint optimization of source power and distributed beamforming weights achieves significant capacity increment over both source selection and equal source power spatial multiplexing schemes.
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fgs.label Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
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dc.title Joint source power scheduling and distributed relay beamforming in multiuser cooperative wireless networks.
dc.creator Li, Xin.
Zhang, Yimin.
Amin, Moeness G.
dc.description This paper considers the maximization of the sum capacity of a multiuser cooperative wireless network through the joint optimization of power allocation among source nodes and distributed beamforming weights across the relay nodes. The distributed beamforming techniques offer the capability of enhancing the sum network capacity by achieving spatial multiplexing to support concurrent communications of multiple source-destination pairs. In this paper, we consider a two-hop cooperative wireless network consisting of single-antenna nodes in which multiple concurrent links are relayed by a number of cooperative nodes. When a large number of relay nodes are available, the channels of the different source-destination pairs can be orthogonalized, yielding enhanced sum network capacity. Such an advantage is particularly significant in high signal-to-noise ratio (SNR) regime, in which the capacity follows a logarithm law with the SNR, whereas exploiting spatial multiplexing of multiple links yields capacity increment linear to the number of users. However, the capacity performance is compromised when the input SNR is low and/or when the number of relay nodes is limited. Joint optimization of source power allocation and distributed relay beamforming is important when the input SNR and/or the number of relay nodes are moderate or wireless channels experience different channel variances. In these cases, the joint optimization of source power and distributed beamforming weights achieves significant capacity increment over both source selection and equal source power spatial multiplexing schemes.
dc.date 2009
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dc.source Proceedings of the IEEE Global Communications Conference, Honolulu, HI, November-December 2009.
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