Maximizing System Energy Efficiency by Exploiting Multiuser Diversity and Loss Tolerance of the Applications

We address the problem of energy efficient scheduling over fading channels for the loss tolerant applications. The proposed scheduling scheme allows dropping of a certain predefined proportion of data packets on the transmitter side. However, there is a hard constraint on the maximum number of succe...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2013-09, Vol.12 (9), p.4392-4401
Main Authors: Butt, M. Majid, Jorswieck, Eduard A.
Format: Article
Language:English
Subjects:
Applied sciences
Asymptotic properties
Channels
Combinatorial analysis
Delays
Energy efficiency
Energy management
Exact sciences and technology
Fading
large system analysis
Mathematical models
Multiuser diversity
opportunistic scheduling
Optimization
Packet loss
packet loss-energy trade-off
Radiocommunications
Scheduling
Switching and signalling
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Tolerances
Transmission and modulation (techniques and equipments)
Transmitters. Receivers
Vectors
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Summary:We address the problem of energy efficient scheduling over fading channels for the loss tolerant applications. The proposed scheduling scheme allows dropping of a certain predefined proportion of data packets on the transmitter side. However, there is a hard constraint on the maximum number of successively dropped packets. The scheduler exploits average data loss tolerance to reduce the average system energy expenditure while fulfills the hard constraint on the number of successively dropped packets. We explore the effect of average and successive packet loss constraints on the system energy and characterize the regions where one parameter is more critical as compared to the other in the sense of achieving better energy efficiency. The scheme is analyzed using asymptotically large user limit and the optimized channel¿-dependent dropping thresholds are computed by using combinatorial optimization techniques. The numerical results illustrate the energy efficiency of the scheme as a function of the average and successive packet drop parameters.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2013.090313.121355