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New Results on Single-Step Power Control System in Finite State Markov Channel: Power Control Error Modelling and Queueing Variation Modelling

The analysis regarding the impact of the single-step power control (SSPC) scheme on the system performance such as bit error rate, packet error rate and queueing variation is hard to access. In this work, we propose an approach to analyze that impact when being in finite state Markov channel (FSMC)....

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Main Authors:	Shi-Yong Lee, Min-Kuan Chang
Format:	Conference Proceeding
Language:	English
Subjects:	AWGN Bit error rate Error analysis Error correction Multimedia systems Performance analysis Power control Power system modeling Streaming media System performance
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creator	Shi-Yong Lee Min-Kuan Chang
description	The analysis regarding the impact of the single-step power control (SSPC) scheme on the system performance such as bit error rate, packet error rate and queueing variation is hard to access. In this work, we propose an approach to analyze that impact when being in finite state Markov channel (FSMC). To achieve the understanding of the relationship between SSPC, FSMC, and the queueing variation, power control error (PCE), error rate, and PDF of queueing length are first calculated. PCE variation is modelled, which then benefits the evaluation of packet error rate (PER) and bit error rate (BER). Furthermore, based on these results, a queueing model is proposed to describe the variation of queueing length, which is an embedded Markov chain. The proposed queueing model can help determine the optimal queueing buffer size and the optimal target SNR for a specific overflow probability under. Simulation results have shown the validation of the proposed PCE variation model and queueing variation model.
doi_str_mv	10.1109/ICC.2007.42
format	conference_proceeding
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In this work, we propose an approach to analyze that impact when being in finite state Markov channel (FSMC). To achieve the understanding of the relationship between SSPC, FSMC, and the queueing variation, power control error (PCE), error rate, and PDF of queueing length are first calculated. PCE variation is modelled, which then benefits the evaluation of packet error rate (PER) and bit error rate (BER). Furthermore, based on these results, a queueing model is proposed to describe the variation of queueing length, which is an embedded Markov chain. The proposed queueing model can help determine the optimal queueing buffer size and the optimal target SNR for a specific overflow probability under. 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In this work, we propose an approach to analyze that impact when being in finite state Markov channel (FSMC). To achieve the understanding of the relationship between SSPC, FSMC, and the queueing variation, power control error (PCE), error rate, and PDF of queueing length are first calculated. PCE variation is modelled, which then benefits the evaluation of packet error rate (PER) and bit error rate (BER). Furthermore, based on these results, a queueing model is proposed to describe the variation of queueing length, which is an embedded Markov chain. The proposed queueing model can help determine the optimal queueing buffer size and the optimal target SNR for a specific overflow probability under. Simulation results have shown the validation of the proposed PCE variation model and queueing variation model.</abstract><pub>IEEE</pub><doi>10.1109/ICC.2007.42</doi><tpages>6</tpages></addata></record>
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issn	1550-3607 1938-1883
language	eng
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	AWGN Bit error rate Error analysis Error correction Multimedia systems Performance analysis Power control Power system modeling Streaming media System performance
title	New Results on Single-Step Power Control System in Finite State Markov Channel: Power Control Error Modelling and Queueing Variation Modelling
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