Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization

Wen Jing Wang; Hong Chuan Yang; Mohamed-Slim Alouini

doi:10.1109/ICC.2019.8761582

Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization

Wen Jing Wang, Hong Chuan Yang, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

With adaptive transmission, the transmission rate and/or power are adaptively adjusted according to the channel realization, which leads to a variable amount of energy consumption for the transmission of the same amount of data. We propose an analytical framework to statistically characterize the transmitter energy consumption of adaptive transmission over fading channels. For slow fading scenario, we derive the probability density function (PDF) and cumulative distribution function (CDF) of energy consumption assuming continuous-time Markov channel model. For the fast fading case, we apply the statistical mixture model to obtain the approximate PDF of energy consumption. Selected numerical results are presented to illustrate and to validate the mathematical formulations.

Original language	English (US)
Title of host publication	ICC 2019 - 2019 IEEE International Conference on Communications (ICC)
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781538680889
DOIs	https://doi.org/10.1109/ICC.2019.8761582
State	Published - Jul 16 2019

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10.1109/ICC.2019.8761582

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@inproceedings{304679277ec941eea2a48c888988144a,

title = "Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization",

abstract = "With adaptive transmission, the transmission rate and/or power are adaptively adjusted according to the channel realization, which leads to a variable amount of energy consumption for the transmission of the same amount of data. We propose an analytical framework to statistically characterize the transmitter energy consumption of adaptive transmission over fading channels. For slow fading scenario, we derive the probability density function (PDF) and cumulative distribution function (CDF) of energy consumption assuming continuous-time Markov channel model. For the fast fading case, we apply the statistical mixture model to obtain the approximate PDF of energy consumption. Selected numerical results are presented to illustrate and to validate the mathematical formulations.",

author = "Wang, {Wen Jing} and Yang, {Hong Chuan} and Mohamed-Slim Alouini",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2019",

month = jul,

day = "16",

doi = "10.1109/ICC.2019.8761582",

language = "English (US)",

isbn = "9781538680889",

booktitle = "ICC 2019 - 2019 IEEE International Conference on Communications (ICC)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization. / Wang, Wen Jing; Yang, Hong Chuan; Alouini, Mohamed-Slim.
ICC 2019 - 2019 IEEE International Conference on Communications (ICC). Institute of Electrical and Electronics Engineers Inc., 2019.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization

AU - Wang, Wen Jing

AU - Yang, Hong Chuan

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2019/7/16

Y1 - 2019/7/16

N2 - With adaptive transmission, the transmission rate and/or power are adaptively adjusted according to the channel realization, which leads to a variable amount of energy consumption for the transmission of the same amount of data. We propose an analytical framework to statistically characterize the transmitter energy consumption of adaptive transmission over fading channels. For slow fading scenario, we derive the probability density function (PDF) and cumulative distribution function (CDF) of energy consumption assuming continuous-time Markov channel model. For the fast fading case, we apply the statistical mixture model to obtain the approximate PDF of energy consumption. Selected numerical results are presented to illustrate and to validate the mathematical formulations.

AB - With adaptive transmission, the transmission rate and/or power are adaptively adjusted according to the channel realization, which leads to a variable amount of energy consumption for the transmission of the same amount of data. We propose an analytical framework to statistically characterize the transmitter energy consumption of adaptive transmission over fading channels. For slow fading scenario, we derive the probability density function (PDF) and cumulative distribution function (CDF) of energy consumption assuming continuous-time Markov channel model. For the fast fading case, we apply the statistical mixture model to obtain the approximate PDF of energy consumption. Selected numerical results are presented to illustrate and to validate the mathematical formulations.

UR - http://hdl.handle.net/10754/656766

UR - https://ieeexplore.ieee.org/document/8761582/

UR - http://www.scopus.com/inward/record.url?scp=85070228427&partnerID=8YFLogxK

U2 - 10.1109/ICC.2019.8761582

DO - 10.1109/ICC.2019.8761582

M3 - Conference contribution

SN - 9781538680889

BT - ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization

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