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A comparative study of power control approaches for device-to-device communications
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-2289-3159
Ericsson AB, Sweden .
KTH, School of Electrical Engineering (EES), Automatic Control.
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2013 (English)In: Communications (ICC), 2013 IEEE International Conference on, IEEE , 2013, 6008-6013 p.Conference paper (Refereed)
Abstract [en]

Device-to-device (D2D) communications integrated into cellular networks is a means to take advantage of the proximity of devices and thereby to increase the user bitrates and system capacity. D2D communications has recently been proposed for the 3GPP Long Term Evolution (LTE) system as a method to increase the spectrum- and energy-efficiency. Such systems support a wide range of power control schemes based on a combination of open-loop and closed-loop components and there is a need to set the associated control parameters such that spectrum- and energy-efficiency targets are met. In this paper we study the performance of various power control strategies applicable to D2D communications in LTE networks and compare them with a utility function maximization approach that balances spectrum efficiency and the total transmission power. Our reference scheme is based on a fully distributed algorithm that iteratively sets the signal-to-interference-plus-noise (SINR) targets and corresponding transmit power levels. We find that the LTE-based power control approach performs close to the optimal scheme provided that the associated parameters are properly set. 1

Place, publisher, year, edition, pages
IEEE , 2013. 6008-6013 p.
, IEEE International Conference on Communications, ISSN 1550-3607
Keyword [en]
Comparative studies, Device-to-Device communications, Deviceto-device (D2D) communication, Power control schemes, Power control strategies, Signal-to-interference-plus-noise, Spectrum efficiency, Utility function maximizations
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-140991DOI: 10.1109/ICC.2013.6655561ScopusID: 2-s2.0-84891357440ISBN: 978-146733122-7OAI: diva2:693792
2013 IEEE International Conference on Communications, ICC 2013; Budapest; Hungary; 9 June 2013 through 13 June 2013

QC 20140205

Available from: 2014-02-05 Created: 2014-02-05 Last updated: 2014-02-05Bibliographically approved

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