On optimizing power allocation for reliable communication over fading channels with uninformed transmitter

Butt, M. M. , Jorswieck, E. A. and Marchetti, N. (2018) On optimizing power allocation for reliable communication over fading channels with uninformed transmitter. IEEE Transactions on Wireless Communications, 17(10), pp. 6617-6629. (doi:10.1109/TWC.2018.2861754)

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We investigate energy efficient packet scheduling and power allocation problem for the services which require reliable communication to guarantee a certain quality of experience (QoE). We establish links between average transmit power and reliability of data transfer, which depends on both average amount of data transfer and short term rate guarantees. We consider a slow-fading point-to-point channel without channel state information at the transmitter side (CSIT). In the absence of CSIT, the slow fading channel has an outage probability associated with every transmit power. As a function of data loss tolerance parameters, and minimum rate and peak power constraints, we formulate an optimization problem that adapts rate and power to minimize the average transmit power for the user equipment (UE). Then, a relaxed optimization problem is formulated where transmission rate is assumed to be fixed for each packet transmission. We use Markov chain to model constraints of the optimization problem. The corresponding problem is not convex for both of the formulated problems, therefore a stochastic optimization technique, namely the simulated annealing algorithm, is used to solve them. The numerical results quantify the effect of various system parameters on average transmit power and show significant energy savings when the service has less stringent requirements on timely and reliable communication.

Item Type:Articles
Additional Information:This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. The work of E. Jorswieck was supported by the German Research Foundation, Deutsche Forschungsgemeinschaft, Collaborative Research Center 912, through the Highly Adaptive Energy- Efficient Computing.
Glasgow Author(s) Enlighten ID:Butt, Dr Muhammad Majid
Authors: Butt, M. M., Jorswieck, E. A., and Marchetti, N.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IEEE Transactions on Wireless Communications
ISSN (Online):1536-1276
Published Online:07 August 2018
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Transactions on Wireless Communications 17(10): 6617-6629
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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