Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading

We consider low cost discrete bit loading based on greedy power allocation (GPA) under the constraints of total transmit power budget, target BER, and maximum permissible QAM modulation order. Compared to the standard GPA, which is optimal in terms of maximising the data throughput, three suboptimal...

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Main Authors: Waleed Al-Hanafy, Stephan Weiss
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/370261
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author Waleed Al-Hanafy
Stephan Weiss
author_facet Waleed Al-Hanafy
Stephan Weiss
author_sort Waleed Al-Hanafy
collection DOAJ
description We consider low cost discrete bit loading based on greedy power allocation (GPA) under the constraints of total transmit power budget, target BER, and maximum permissible QAM modulation order. Compared to the standard GPA, which is optimal in terms of maximising the data throughput, three suboptimal schemes are proposed, which perform GPA on subsets of subchannels only. These subsets are created by considering the minimum SNR boundaries of QAM levels for a given target BER. We demonstrate how these schemes can significantly reduce the computational complexity required for power allocation, particularly in the case of a large number of subchannels. Two of the proposed algorithms can achieve near optimal performance including a transfer of residual power between subsets at the expense of a very small extra cost. By simulations, we show that the two near optimal schemes, while greatly reducing complexity, perform best in two separate and distinct SNR regions.
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spelling doaj-art-a43809d112ad4bd9b7f698c8147663162025-02-03T01:25:39ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/370261370261Suboptimal Greedy Power Allocation Schemes for Discrete Bit LoadingWaleed Al-Hanafy0Stephan Weiss1Electronics and Communication Engineering Department, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, EgyptCentre for White Space Communications/CeSIP, Department of EEE, University of Strathclyde, Glasgow G1 1XW, Scotland, UKWe consider low cost discrete bit loading based on greedy power allocation (GPA) under the constraints of total transmit power budget, target BER, and maximum permissible QAM modulation order. Compared to the standard GPA, which is optimal in terms of maximising the data throughput, three suboptimal schemes are proposed, which perform GPA on subsets of subchannels only. These subsets are created by considering the minimum SNR boundaries of QAM levels for a given target BER. We demonstrate how these schemes can significantly reduce the computational complexity required for power allocation, particularly in the case of a large number of subchannels. Two of the proposed algorithms can achieve near optimal performance including a transfer of residual power between subsets at the expense of a very small extra cost. By simulations, we show that the two near optimal schemes, while greatly reducing complexity, perform best in two separate and distinct SNR regions.http://dx.doi.org/10.1155/2013/370261
spellingShingle Waleed Al-Hanafy
Stephan Weiss
Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading
The Scientific World Journal
title Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading
title_full Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading
title_fullStr Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading
title_full_unstemmed Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading
title_short Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading
title_sort suboptimal greedy power allocation schemes for discrete bit loading
url http://dx.doi.org/10.1155/2013/370261
work_keys_str_mv AT waleedalhanafy suboptimalgreedypowerallocationschemesfordiscretebitloading
AT stephanweiss suboptimalgreedypowerallocationschemesfordiscretebitloading