Cooperative Power Scheduling for a Network of MIMO Links

A cooperative power scheduling algorithm developed by Wang, Krunz and Cui is extended for an ad hocnetwork of MIMO links. This algorithm, referred to as pricebased iterative water filling (PIWF) algorithm, is a distributed algorithm by which each link computes its power scheduling through an iterati...

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Main Authors: Dong, X., Rong, Yue, Hua, Y.
Format: Journal Article
Published: IEEE 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/16116
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author Dong, X.
Rong, Yue
Hua, Y.
author_facet Dong, X.
Rong, Yue
Hua, Y.
author_sort Dong, X.
building Curtin Institutional Repository
collection Online Access
description A cooperative power scheduling algorithm developed by Wang, Krunz and Cui is extended for an ad hocnetwork of MIMO links. This algorithm, referred to as pricebased iterative water filling (PIWF) algorithm, is a distributed algorithm by which each link computes its power scheduling through an iterative and cooperative process. The cooperation among all links is achieved by adaptive price factors appliedby each link. Compared to a centralized power scheduling algorithm, the PIWF algorithm is much more efficient in computation although not as efficient in network throughput. Compared to a non-cooperative counter-part by Demirkol and Ingram where all price factors are zero, the PIWF algorithm requires additional in-network computation but is more efficient in network throughput.
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spelling curtin-20.500.11937-161162017-01-30T11:53:53Z Cooperative Power Scheduling for a Network of MIMO Links Dong, X. Rong, Yue Hua, Y. Ad hoc network of MIMO links cooperative game network throughput iterative water filling power scheduling A cooperative power scheduling algorithm developed by Wang, Krunz and Cui is extended for an ad hocnetwork of MIMO links. This algorithm, referred to as pricebased iterative water filling (PIWF) algorithm, is a distributed algorithm by which each link computes its power scheduling through an iterative and cooperative process. The cooperation among all links is achieved by adaptive price factors appliedby each link. Compared to a centralized power scheduling algorithm, the PIWF algorithm is much more efficient in computation although not as efficient in network throughput. Compared to a non-cooperative counter-part by Demirkol and Ingram where all price factors are zero, the PIWF algorithm requires additional in-network computation but is more efficient in network throughput. 2010 Journal Article http://hdl.handle.net/20.500.11937/16116 IEEE fulltext
spellingShingle Ad hoc network of MIMO links
cooperative game
network throughput
iterative water filling
power scheduling
Dong, X.
Rong, Yue
Hua, Y.
Cooperative Power Scheduling for a Network of MIMO Links
title Cooperative Power Scheduling for a Network of MIMO Links
title_full Cooperative Power Scheduling for a Network of MIMO Links
title_fullStr Cooperative Power Scheduling for a Network of MIMO Links
title_full_unstemmed Cooperative Power Scheduling for a Network of MIMO Links
title_short Cooperative Power Scheduling for a Network of MIMO Links
title_sort cooperative power scheduling for a network of mimo links
topic Ad hoc network of MIMO links
cooperative game
network throughput
iterative water filling
power scheduling
url http://hdl.handle.net/20.500.11937/16116