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Auction based competition of hybrid small cells for dropped macrocell users

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posted on 10.01.2017 by Bokamoso Basutli, Sangarapillai Lambotharan
We propose an auction based beamforming and user association algorithm for a wireless network consisting of a macrocell and multiple small cell access points (SCAs). The SCAs compete for serving the macrocell base station (MBS) users (MUs). The corresponding user association problem is solved by the proposed bid-wait auction (BWA) method. We considered two scenarios. In the first scenario, the MBS initially admits the largest possible set of MUs that it can serve simultaneously and then auctions off the remaining MUs to the SCAs, who are willing to admit guest users (GUs) in addition to their commitments to serve their own host users (HUs). This problem is solved by the proposed forward bid-wait auction (FBWA). In the second scenario, the MBS aims to offload as many MUs as possible to the SCAs and then admits the largest possible set of remaining MUs. This is solved by the proposed backward bid-wait auction (BBWA). The proposed algorithms provide close to optimum solution as if obtained using a centralised global optimization.

Funding

The authors wish to acknowledge the support of this work by the Department of Tertiary Education Financing (DTEF) in Botswana, the Botswana International University of Science and Technology (BIUST) and the Engineering and Physical Sciences Research Council of the UK, EPSRC, under the grant EP/M015475.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IET Signal Processing

Citation

BASUTLI, B. and LAMBOTHARAN, S., 2017. Auction based competition of hybrid small cells for dropped macrocell users. IET Signal Processing, 11 (6), pp. 695–703.

Publisher

Institution of Engineering and Technology (IET)

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Acceptance date

20/12/2016

Publication date

2017

Notes

This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

ISSN

1751-9675

Language

en

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