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

Type
Conference Paper

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

KAUST Department
Electrical Engineering Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Online Publication Date
2019-07-16

Print Publication Date
2019-05

Date
2019-07-16

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.

Citation
Wang, W.-J., Yang, H.-C., & Alouini, M.-S. (2019). Energy Consumption for Adaptive Transmission Over Fading Channels: A Statistical Characterization. ICC 2019 - 2019 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2019.8761582

Publisher
Institute of Electrical and Electronics Engineers (IEEE)

Conference/Event Name
2019 IEEE International Conference on Communications, ICC 2019

DOI
10.1109/ICC.2019.8761582

Additional Links
https://ieeexplore.ieee.org/document/8761582/

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