Learning in small cell networks: A social interactive model

Yue Meng, Chunxiao Jiang, Zhu Han, Tony Q.S. Quek, Yong Ren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In small cell networks, due to the small coverage of small cell access points (SAPs), handoffs may be executed frequently. Therefore, evaluating the utility that a user equipment (UE) can acquire from an SAP is of great significance. In this paper, different from traditional evaluation schemes, we propose a social interactive evaluation scheme. The UEs are allowed to share their local believes and fuse them in a non- Bayesian manner. One advantage of the scheme is that it allows UEs to evaluate an SAP that they do not connect to, based on which UEs can get prepared for handoff in advance. Both the theoretical analysis and simulation illustrate that UEs not connecting to an SAP is able to learn the real utility iteratively and accurately. Additionally, compared to UEs performing individual Bayesian estimation, UEs with the non-Bayesian scheme can learn the real utility faster if the signal cannot be observed in every iteration.

Original languageEnglish
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959525
DOIs
Publication statusPublished - 2015
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: 2015 Dec 62015 Dec 10

Publication series

Name2015 IEEE Global Communications Conference, GLOBECOM 2015

Other

Other58th IEEE Global Communications Conference, GLOBECOM 2015
Country/TerritoryUnited States
CitySan Diego
Period15-12-0615-12-10

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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