Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space

The key bottleneck for secondary spectrum usage is the aggregate interference to the primary system receivers due to simultaneous secondary transmissions. Existing power allocation algorithms for multiple secondary transmitters in the TV white space either fail to protect the TV service in all cases...

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Main Authors: Konstantinos Koufos, Riku Jäntti
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2013/272341
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spelling doaj-b8dbcecd02a1463ea90926513bfeae732021-07-02T04:31:12ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552013-01-01201310.1155/2013/272341272341Proportional Fair Power Allocation for Secondary Transmitters in the TV White SpaceKonstantinos Koufos0Riku Jäntti1Communications and Networking Department, Aalto University, FinlandCommunications and Networking Department, Aalto University, FinlandThe key bottleneck for secondary spectrum usage is the aggregate interference to the primary system receivers due to simultaneous secondary transmissions. Existing power allocation algorithms for multiple secondary transmitters in the TV white space either fail to protect the TV service in all cases or they allocate extremely low power levels to some of the transmitters. In this paper, we propose a power allocation algorithm that favors equally the secondary transmitters and it is able to protect the TV service in all cases. When the number of secondary transmitters is high, the computational complexity of the proposed algorithm becomes high too. We show how the algorithm could be modified to reduce its computational complexity at the cost of negligible performance loss. The modified algorithm could permit a spectrum allocation database to allocate near optimal transmit power levels to tens of thousands of secondary transmitters in real time. In addition, we describe how the modified algorithm could be applied to allow decentralized power allocation for mobile secondary transmitters. In that case, the proposed algorithm outperforms the existing algorithms because it allows reducing the communication signalling overhead between mobile secondary transmitters and the spectrum allocation database.http://dx.doi.org/10.1155/2013/272341
collection DOAJ
language English
format Article
sources DOAJ
author Konstantinos Koufos
Riku Jäntti
spellingShingle Konstantinos Koufos
Riku Jäntti
Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space
Journal of Electrical and Computer Engineering
author_facet Konstantinos Koufos
Riku Jäntti
author_sort Konstantinos Koufos
title Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space
title_short Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space
title_full Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space
title_fullStr Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space
title_full_unstemmed Proportional Fair Power Allocation for Secondary Transmitters in the TV White Space
title_sort proportional fair power allocation for secondary transmitters in the tv white space
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2013-01-01
description The key bottleneck for secondary spectrum usage is the aggregate interference to the primary system receivers due to simultaneous secondary transmissions. Existing power allocation algorithms for multiple secondary transmitters in the TV white space either fail to protect the TV service in all cases or they allocate extremely low power levels to some of the transmitters. In this paper, we propose a power allocation algorithm that favors equally the secondary transmitters and it is able to protect the TV service in all cases. When the number of secondary transmitters is high, the computational complexity of the proposed algorithm becomes high too. We show how the algorithm could be modified to reduce its computational complexity at the cost of negligible performance loss. The modified algorithm could permit a spectrum allocation database to allocate near optimal transmit power levels to tens of thousands of secondary transmitters in real time. In addition, we describe how the modified algorithm could be applied to allow decentralized power allocation for mobile secondary transmitters. In that case, the proposed algorithm outperforms the existing algorithms because it allows reducing the communication signalling overhead between mobile secondary transmitters and the spectrum allocation database.
url http://dx.doi.org/10.1155/2013/272341
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