Multi-cell aware opportunistic random access

Huifa Lin, Won Yong Shin

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

4 Citations (Scopus)

Abstract

We propose a decentralized multi-cell aware opportunistic random access (MA-ORA) protocol that almost achieves the optimal throughput scaling in a K-cell random access network with one access point (AP) and N users in each cell. Under our MA-ORA protocol, users opportunistically transmit with a predefined physical layer data rate in a decentralized manner if the desired signal power to the serving AP is sufficiently large and the generating interference power to other APs is sufficiently small. It is proved that the aggregate throughput scales as k/e (1 -)log(SNR log N) in a high signal-to-noise ratio (SNR) regime if N scales faster than SNR k-1/1-δ for small constants, δ > 0. Our analytical result is validated by computer simulations.

Original languageEnglish
Title of host publication2017 IEEE International Symposium on Information Theory, ISIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2533-2537
Number of pages5
ISBN (Electronic)9781509040964
DOIs
Publication statusPublished - 2017 Aug 9
Event2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Germany
Duration: 2017 Jun 252017 Jun 30

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095

Other

Other2017 IEEE International Symposium on Information Theory, ISIT 2017
CountryGermany
CityAachen
Period17/6/2517/6/30

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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  • Cite this

    Lin, H., & Shin, W. Y. (2017). Multi-cell aware opportunistic random access. In 2017 IEEE International Symposium on Information Theory, ISIT 2017 (pp. 2533-2537). [8006986] (IEEE International Symposium on Information Theory - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISIT.2017.8006986