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Optimum Transmission Rate in Fading Channels with Markovian Sources and\n QoS Constraints

2018/08/21 by Fahad Qasmi, Mohammad Shehab, Qasmi, Fahad +5
Engineering · Computer Science · #IoT Networks and Protocols #IoT and Edge/Fog Computing #Wireless Body Area Networks

paper · pdf · doi:10.48550/arxiv.1808.06839

Abstract

This paper evaluates the performance of reliability and latency in machine\ntype communication networks, which composed of single transmitter and receiver\nin the presence of Rayleigh fading channel. The source's traffic arrivals are\nmodeled as Markovian processes namely Discrete-Time Markov process, Fluid\nMarkov process, and Markov Modulated Poisson process, and delay/buffer overflow\nconstraints are imposed. Our approach is based on the reliability and latency\noutage probability, where transmitter not knowing the channel condition,\ntherefore the transmitter would be transmitting information over the fixed\nrate. The fixed rate transmission is modeled as a two state Discrete time\nMarkov process, which identifies the reliability level of wireless\ntransmission. Using effective bandwidth and effective capacity theories, we\nevaluate the trade-off between reliability-latency and identify QoS\nrequirement. The impact of different source traffic originated from MTC devices\nunder QoS constraints on the effective transmission rate are investigated.\n

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