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Auction based competition of hybrid small cells for dropped macrocell users

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posted on 10.01.2017, 10:49 authored by Bokamoso Basutli, Sangarapillai LambotharanSangarapillai 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.


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.



  • Mechanical, Electrical and Manufacturing Engineering

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IET Signal Processing


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.


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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/

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





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