Improved Markov model for Rayleigh fading envelope

Bergamo, P.; Maniezzo, D.; Giovanardi, A.; Mazzini, G.; Zorzi, Michele

doi:10.1049/el:20020337

Cited by 21 publications

(11 citation statements)

References 3 publications

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“…In order to obtain better results within a Markov model it would be interesting to investigate how the statistics improves considering a radically different approach to derive the Markov chain. For instance, in [18] the authors considered the fading derivative as an additional dimension for this purpose. In that paper, they proved that this method can better reproduce the oscillatory behavior of the autocorrelation function.…”

Section: A Results For the Delay Statistics Over An N-state Markov Cmentioning

confidence: 99%

SR ARQ delay statistics on N-state Markov channels with non-instantaneous feedback

Rossi

Badia

Zorzi

2006

IEEE Trans. Wireless Commun.

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Section: A Results For the Delay Statistics Over An N-state Markov Cmentioning

confidence: 99%

SR ARQ delay statistics on N-state Markov channels with non-instantaneous feedback

Rossi

Badia

Zorzi

2006

IEEE Trans. Wireless Commun.

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“…Then each section of the gain value corresponds to a state in the Markov chain. The application of FSMC to model Rayleigh channels has been well studied in [29,30]. Given knowledge of the fading process and primary network usage, the stationary distribution p(i) as well as channel state transition probabilities {P i, j } can be derived.…”

Section: Rate-distortion (R-d) Model For Multimedia Applicationsmentioning

confidence: 99%

Application layer QoS optimization for multimedia transmission over cognitive radio networks

Sun

Krishnamurthy

et al. 2010

Wireless Netw

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In cognitive radio (CR) networks, the perceived reduction of application layer quality of service (QoS), such as multimedia distortion, by secondary users may impede the success of CR technologies. Most previous work in CR networks ignores application layer QoS. In this paper we take an integrated design approach to jointly optimize multimedia intra refreshing rate, an application layer parameter, together with access strategy, and spectrum sensing for multimedia transmission in a CR system with time varying wireless channels. Primary network usage and channel gain are modeled as a finite state Markov process. With channel sensing and channel state information errors, the system state cannot be directly observed. We formulate the QoS optimization problem as a partially observable Markov decision process (POMDP). A low complexity dynamic programming framework is presented to obtain the optimal policy. Simulation results show the effectiveness of the proposed scheme.

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“…Due to the significant mismatch of the autocorrelation function of AFSMC models with that of the ISORA Rayleigh fading process, Bergamo, et al [10] proposed a MC model with a state-space consisting of both the amplitude and the rate-of-change of the fading envelope. This amplitude/rate model was analyzed in greater detail, for both first-and second-order models, by Carruthers and Beaulieu [11].…”

Section: Introductionmentioning

confidence: 99%

A Quadrature Markov Chain Model of the Rayleigh Fading Channel

Carruthers

Beaulieu

2008

2008 IEEE International Conference on Communications

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A quadrature Markov chain model of the Rayleigh fading channel is examined. The model is defined by formulating a Markov chain model of the underlying Gaussian fading process, using a state-space that consists of both the amplitude and rateof-change of the Gaussian fading, then transforming that model into a Markov chain model of the Rayleigh fading process. Power margin quality measures are used to determine the most suitable number of states for the model. It is shown that the proposed model is an improvement over previous amplitude-based models, and that, in some instances, it is also an improvement over previous amplitude/rate models.

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Improved Markov model for Rayleigh fading envelope

Cited by 21 publications

References 3 publications

SR ARQ delay statistics on N-state Markov channels with non-instantaneous feedback

SR ARQ delay statistics on N-state Markov channels with non-instantaneous feedback

Application layer QoS optimization for multimedia transmission over cognitive radio networks

A Quadrature Markov Chain Model of the Rayleigh Fading Channel

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