Auction-Based Users Dynamic Allocation in Heterogeneous Networks

Yatai Liu, Lixin Li, Wei Liang, Huisheng Zhang, Ang Gao, Xu Li, Zhu Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

In this paper, we design the cycle auction mechanism to dynamically allocate the users among all base stations (BSS) for single-Tier and two-Tier heterogeneous networks (HetNets) to improve the system spectrum efficiency (SE). The cycle auction algorithm (CAA) is proposed to trade the users with the lowest energy efficiency (EE) among the BSS for both HetNets. The user EE is the basis for the seller to select one user as the goods, and the system SE is the criteria for the auctioneer to determine the buyer who trades the goods with the seller. In a single-Tier HetNet, a small cell BS (SBS) acts as a seller as well as an auctioneer, and the rest of the SBSS can directly quote to the seller. In a two-Tier HetNet, the macro cell base station (MBS) is the auctioneer who can either participate in bidding or sell its user, and the auction results made by the MBS depend on the sellers' reserved price and the buyer's bidding price. Simulation results demonstrate that the CAA can significantly improve system SE in both single-Tier and two-Tier HetNets.

Original languageEnglish
Title of host publication2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages636-640
Number of pages5
ISBN (Electronic)9781538670057
DOIs
StatePublished - 2 Jul 2018
Event2018 IEEE/CIC International Conference on Communications in China, ICCC 2018 - Beijing, China
Duration: 16 Aug 201818 Aug 2018

Publication series

Name2018 IEEE/CIC International Conference on Communications in China, ICCC 2018

Conference

Conference2018 IEEE/CIC International Conference on Communications in China, ICCC 2018
Country/TerritoryChina
CityBeijing
Period16/08/1818/08/18

Keywords

  • auction
  • beamforming
  • Heterogeneous networks

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