Conference Paper

Channel Prediction Using Lumpable Finite-State Markov Channels in OFDMA Systems

DOI: 10.1109/VETECS.2006.1683108 Conference: Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd, Volume: 4
Source: IEEE Xplore


In this paper, Rayleigh fading channel with an OFDMA system is modeled as a finite-state Markov channel (FSMC) by partitioning the received signal envelope into several intervals. With the aid of sub-band formation and property of lumpability, the size of feedback information can be reduced. This approach involves reducing an exponentially increased states of Markov channel to multiple lumpable Markov channels. The corresponding state transition probabilities and steady-state probabilities are used to predict channel states information in multiple symbol durations ahead. Some simulation examples are presented to illustrate the capability of the lumpable FSMC in channel prediction

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Available from: Cheng chew Lim, Mar 03, 2015
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    • "Currently there are several channel prediction method such as linear prediction [16], [17], channel variation prediction based on finite state Markov chain (FSMC) [13], [18], etc. However, in the work [13], [18], only the channel state prediction of the next frame is considered. "
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    ABSTRACT: In this paper, we propose a novel adaptive modulation and coding (AMC) algorithm dedicated to reduce the feedback frequency of the channel state information (CSI). There have been already plenty of works on AMC so as to exploit the bandwidth more efficiently with the CSI feedback to the transmitter. However, in some occasions, frequent CSI feedback is not favorable in these systems. This work considers finite-state Markov chain (FSMC) based channel prediction to alleviate the feedback while maximizing the overall throughput. We derive the close-form of the frame error rate (FER) based on channel prediction using limited CSI feedback. In addition, instead of switching settings according to the CSI, we also provide means to combine both CSI and FER as the switching parameter. Numerical results illustrate that the average throughput of the proposed algorithm has significant performance improvement over fixed modulation and coding while the CSI feedback being largely reduced.
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    • ", [23], [25], [26], and [47] "
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    ABSTRACT: This article's goal is to provide an in-depth understanding of the principles of FSMC modeling of fading channels with its applications in wireless communication systems. While the emphasis is on frequency nonselective or flat-fading channels, this understanding will be useful for future generalizations of FSMC models for frequency-selective fading channels. The target audience of this article include both theory- and practice-oriented researchers who would like to design accurate channel models for evaluating the performance of wireless communication systems in the physical or media access control layers, or those who would like to develop more efficient and reliable transceivers that take advantage of the inherent memory in fading channels. Both FSMC models and flat-fading channels will be formally introduced. FSMC models are particulary suitable to represent and estimate the relatively fast flat-fading channel gain in each subcarrier.
    IEEE Signal Processing Magazine 10/2008; 25(5-25):57 - 80. DOI:10.1109/MSP.2008.926683 · 5.85 Impact Factor
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    • "verified the validity of approximate state transition probabilities through computer simulations of the TV-FFC for the normalized fading rates of f D T s = 0.0001 and f D T s = 0.001 and K = 8 equiprobable amplitude states. Other researchers including [16], [23], [25], [26], and [47] "
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