A lumpable finite-state Markov model for channel prediction and resource allocation in OFDMA systems
Date
2006
Authors
Chee, K.
Lim, C.
Choi, J.
Editors
Agbinya, D.
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Conference paper
Citation
AusWireless '06: 1st International Conference, Sydney 13-16 March, 2006 : pp. 1-6 [CDROM]
Statement of Responsibility
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.