Energy Consumption for Adaptive Transmission over Fading Channels: A Statistical Characterization
Type
Conference PaperKAUST Department
Electrical Engineering ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2019-07-16Online Publication Date
2019-07-16Print Publication Date
2019-05Permanent link to this record
http://hdl.handle.net/10754/656766
Metadata
Show full item recordAbstract
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.2019.8761582Conference/Event name
2019 IEEE International Conference on Communications, ICC 2019Additional Links
https://ieeexplore.ieee.org/document/8761582/ae974a485f413a2113503eed53cd6c53
10.1109/ICC.2019.8761582