Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay

Heron, John; Sun, Hongjian

doi:10.1109/vtcfall.2017.8288142

Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay

Heron, John; Sun, Hongjian

Authors

John Heron

Professor Hongjian Sun hongjian.sun@durham.ac.uk
Professor

Abstract

Exponential growth in power consumption of wireless communication devices and lack of progress in battery capacity are increasing pressure for more energy efficient (EE) wireless networks. This paper presents an algorithm for optimum EE time allocation for two cooperative relay selection schemes: opportunistic decode-and- forward (ODF) and opportunistic energy efficiency (OEE) with and without rate constraint. By dynamically optimising transmission time between source and relay it is possible to simultaneously improve EE and minimise capacity loss. Simulation in a multi-user scenario with randomly distributed number and location of cooperative nodes demonstrates the algorithm's effectiveness for improving network performance and applicability to both dynamic and static networks. Results imply a unique globally optimum time and power allocation dependent on relay position.

Citation

Heron, J., & Sun, H. (2017). Dynamic Time and Power Allocation for Opportunistic Energy Efficient Cooperative Relay. In 2017 IEEE 86th Vehicular Technology Conference (VTC Fall) : Toronto, Canada, 24-27 September 2017 ; proceedings (1-5). https://doi.org/10.1109/vtcfall.2017.8288142

Conference Name	IEEE 86th Vehicular Technology Conference
Conference Location	Toronto, Canada
Start Date	Sep 24, 2017
End Date	Sep 27, 2017
Acceptance Date	May 16, 2017
Online Publication Date	Feb 12, 2018
Publication Date	Sep 27, 2017
Deposit Date	May 18, 2017
Publicly Available Date	May 19, 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-5
Book Title	2017 IEEE 86th Vehicular Technology Conference (VTC Fall) : Toronto, Canada, 24-27 September 2017 ; proceedings.
ISBN	9781509059362
DOI	https://doi.org/10.1109/vtcfall.2017.8288142

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