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Network capacity enhancement in HetNets using incentivized offloading mechanism

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posted on 2018-07-31, 10:29 authored by Bokamoso Basutli, Joseph Chuma, Sangarapillai LambotharanSangarapillai Lambotharan
This work investigates distributed algorithms for joint power allocation and user association in heterogeneous networks. We propose auction-based algorithms for offloading macrocell users (MUs) from the macrocell base station (MBS) to privately owned small-cell access points (SCAs). We first propose a simultaneous multiple-round ascending auction (SMRA) for allocating MUs to SCAs. Taking into account the overheads incurred by SCAs during valuation in the SMRA, further improvements are proposed using techniques known as sub-optimal altered SMRA (ASMRA), the combinatorial auction with item bidding (CAIB) and its variations; the sequential CAIB (SCAIB) and the repetitive CAIB (RCAIB). The proof for existence of the Walrasian equilibrium (WE) is demonstrated through establishing that the valuation function used by the SCAs is a gross substitute. Finally, we show that truthful bidding is individual rational for all of our proposed algorithms.

Funding

This work was supported in part 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/R006385/1.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Access

Citation

BASUTLI, B., CHUMA, J. and LAMBOTHARAN, S., 2018. Network capacity enhancement in HetNets using incentivized offloading mechanism. IEEE Access, 6, pp.39307-39323.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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

2018-06-30

Publication date

2018

Notes

This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

ISSN

2169-3536

eISSN

2169-3536

Language

  • en

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