Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35229
Type: Conference paper
Title: A lumpable finite-state Markov model for channel prediction and resource allocation in OFDMA systems
Author: Chee, K.
Lim, C.
Choi, J.
Citation: AusWireless '06: 1st International Conference, Sydney 13-16 March, 2006 : pp. 1-6 [CDROM]
Publisher: University of Technology Sydney Press
Publisher Place: CDROM
Issue Date: 2006
ISBN: 0977520005
9780977520008
Conference Name: International Conference on Wireless Broadband and Ultra Wideband Communications (1st : 2006 : Sydney, N.S.W.)
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.
RMID: 0020062527
Appears in Collections:Electrical and Electronic Engineering publications

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