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Title: Auction based competition of hybrid small cells for dropped macrocell users
Authors: Basutli, Bokamoso
Lambotharan, Sangarapillai
Issue Date: 2017
Publisher: Institution of Engineering and Technology (IET)
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.
Abstract: 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.
Description: This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)
Sponsor: 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.
Version: Published
DOI: 10.1049/iet-spr.2016.0168
URI: https://dspace.lboro.ac.uk/2134/23650
Publisher Link: http://dx.doi.org/10.1049/iet-spr.2016.0168
ISSN: 1751-9675
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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