Markov Chain-based performance analysis of MIMO-Aware Media Access Control Protocol

Abstract : In this paper, we investigate the throughput analysis for the MIMOMAX protocol, a cross-layer design based on multiple transmit and receive antennas (MIMO) capabilities. We propose an analytical model based on a three-dimensional Markov chain. This model includes two additional parameters than the conventional model: a) non-saturated traffic situation, and b) beam strength at the receiver. Each beam has its own backoff parameters that can change dynamically depending on the Signal-to-Noise-Ratio (SNR) values. We discuss a theoretical study of the interactions between the transmission probability, the beam strength and the network throughput. We show how to achieve the maximum network throughput by computing the transmission probability from the saturation point. Numerical and simulation results validate our model.
Type de document :
Communication dans un congrès
IEEE International Conference on Communications (IEEE ICC) 2017, May 2017, Paris, France. IEEE International Conference on Communications (IEEE ICC), pp.1061-1066, 2017, 〈http://icc2017.ieee-icc.org/〉
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https://hal-upec-upem.archives-ouvertes.fr/hal-01520735
Contributeur : Hakim Badis <>
Soumis le : mercredi 10 mai 2017 - 20:26:59
Dernière modification le : mercredi 4 juillet 2018 - 16:38:08

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  • HAL Id : hal-01520735, version 1

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Hakim Badis, Abderrezak Rachedi. Markov Chain-based performance analysis of MIMO-Aware Media Access Control Protocol. IEEE International Conference on Communications (IEEE ICC) 2017, May 2017, Paris, France. IEEE International Conference on Communications (IEEE ICC), pp.1061-1066, 2017, 〈http://icc2017.ieee-icc.org/〉. 〈hal-01520735〉

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