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

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dc.contributor.author Choi, Jinho. en_AU
dc.contributor.author Chee, Tommy K. en_AU
dc.contributor.author Lim, Cheng-Chew. 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/2100/147
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.title A Lumpable Finite-State Markov Model for Channel Prediction and Resource Allocation in OFDMA Systems en_AU


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