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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.
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https://hal-upec-upem.archives-ouvertes.fr/hal-01520735
Contributor : Hakim Badis <>
Submitted on : Wednesday, May 10, 2017 - 8:26:59 PM
Last modification on : Thursday, May 14, 2020 - 10:58:02 AM

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  • HAL Id : hal-01520735, version 1

Citation

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. pp.1061-1066. ⟨hal-01520735⟩

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