A Lumpable Finite-State Markov Model for Channel Prediction and Resource Allocation in OFDMA Systems

Choi, J; Chee, TK; Lim, C

A Lumpable Finite-State Markov Model for Channel Prediction and Resource Allocation in OFDMA Systems

Choi, J Chee, TK Lim, C

Permalink

Publication Type:: Conference
Issue Date:: 2007-03-12T22:05:46Z

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download 7.2_chee.pdfAdobe PDF (250.33 kB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Choi, J	en_AU
dc.contributor.author	Chee, TK	en_AU
dc.contributor.author	Lim, C	en_AU
dc.date.accessioned	2007-03-12T22:05:46Z
dc.date.accessioned	2012-12-15T02:29:42Z
dc.date.available	2007-03-12T22:05:46Z
dc.date.available	2012-12-15T02:29:42Z
dc.date.issued	2007-03-12T22:05:46Z
dc.identifier.uri	http://hdl.handle.net/10453/19654
dc.description.abstract	This paper presents novel closed-form solutions to the sub-channel and power allocation problems of an orthogonal frequency division multiple access (OFDMA) system. We model the Rayleigh fading channel as a finite-state Markov channel (FSMC) by partitioning the received signal-to-noise ratio (SNR) into several intervals. We use the sub-band formation and lumpability to reduce the size of channel state information (CSI) and to reliably predict the CSI with the corresponding state transition and steady-state probabilities. Simulation results show that the limited feedback scheme due to lumpable FSMC is not only experiencing less prediction error than the typical full feedback scheme but also achieving near-optimum capacity.	en_AU
dc.format.extent	256340 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en_AU
dc.relation.replaces	http://hdl.handle.net/2100/147
dc.title	A Lumpable Finite-State Markov Model for Channel Prediction and Resource Allocation in OFDMA Systems	en_AU
dc.type	Conference
utslib.copyright.status	open_access

Abstract:

This paper presents novel closed-form solutions to the sub-channel and power allocation problems of an orthogonal frequency division multiple access (OFDMA) system. We model the Rayleigh fading channel as a finite-state Markov channel (FSMC) by partitioning the received signal-to-noise ratio (SNR) into several intervals. We use the sub-band formation and lumpability to reduce the size of channel state information (CSI) and to reliably predict the CSI with the corresponding state transition and steady-state probabilities. Simulation results show that the limited feedback scheme due to lumpable FSMC is not only experiencing less prediction error than the typical full feedback scheme but also achieving near-optimum capacity.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/19654