Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel

<p>Abstract</p> <p>We analyze the performance of SNR-based scheduling algorithms in broadcast ergodic fading channels where multiuser selection diversity is exploited. At each channel state, the user with the highest weighted signal-to-noise ratio is selected to be transmitted. The...

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Main Authors: P&#233;rez Jes&#250;s, Ib&#225;&#241;ez Jes&#250;s, V&#237;a Javier, Santamar&#237;a Ignacio
Format: Article
Language:English
Published: SpringerOpen 2009-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2009/163826
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spelling doaj-7fb35d7af3f440718af7cafc3c8882a42020-11-24T23:04:37ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992009-01-0120091163826Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading ChannelP&#233;rez Jes&#250;sIb&#225;&#241;ez Jes&#250;sV&#237;a JavierSantamar&#237;a Ignacio<p>Abstract</p> <p>We analyze the performance of SNR-based scheduling algorithms in broadcast ergodic fading channels where multiuser selection diversity is exploited. At each channel state, the user with the highest weighted signal-to-noise ratio is selected to be transmitted. The use of weights associated to the users allows us to control the degree of fairness among users and to arrange them according to a prescribed quality of service. These weights parametrize the scheduling algorithms so each set of weights corresponds to a specific scheduling algorithm. Assuming Rayleigh fading broadcast channel, we derive a closed-form expression for the achievable user's rates as a function of the scheduling algorithm, the channel fading statistics of each user, and the transmit power. With the help of this expression, we solve some interesting inverse problems. For example, for a given arbitrary channel statistics we obtain the optimum scheduling algorithm to achieve a prescribed set of users' rates with minimum transmit power.</p>http://jwcn.eurasipjournals.com/content/2009/163826
collection DOAJ
language English
format Article
sources DOAJ
author P&#233;rez Jes&#250;s
Ib&#225;&#241;ez Jes&#250;s
V&#237;a Javier
Santamar&#237;a Ignacio
spellingShingle P&#233;rez Jes&#250;s
Ib&#225;&#241;ez Jes&#250;s
V&#237;a Javier
Santamar&#237;a Ignacio
Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel
EURASIP Journal on Wireless Communications and Networking
author_facet P&#233;rez Jes&#250;s
Ib&#225;&#241;ez Jes&#250;s
V&#237;a Javier
Santamar&#237;a Ignacio
author_sort P&#233;rez Jes&#250;s
title Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel
title_short Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel
title_full Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel
title_fullStr Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel
title_full_unstemmed Performance Analysis of SNR-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel
title_sort performance analysis of snr-based scheduling policies in asymmetric broadcast ergodic fading channel
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2009-01-01
description <p>Abstract</p> <p>We analyze the performance of SNR-based scheduling algorithms in broadcast ergodic fading channels where multiuser selection diversity is exploited. At each channel state, the user with the highest weighted signal-to-noise ratio is selected to be transmitted. The use of weights associated to the users allows us to control the degree of fairness among users and to arrange them according to a prescribed quality of service. These weights parametrize the scheduling algorithms so each set of weights corresponds to a specific scheduling algorithm. Assuming Rayleigh fading broadcast channel, we derive a closed-form expression for the achievable user's rates as a function of the scheduling algorithm, the channel fading statistics of each user, and the transmit power. With the help of this expression, we solve some interesting inverse problems. For example, for a given arbitrary channel statistics we obtain the optimum scheduling algorithm to achieve a prescribed set of users' rates with minimum transmit power.</p>
url http://jwcn.eurasipjournals.com/content/2009/163826
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