Achieving the optimal throughput scaling in multi-cell random access networks

Huifa Lin, Won Yong Shin

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

2 Citations (Scopus)


Due to the difficulty of coordination in multi-cell random access, it is a practical challenge how to achieve the optimal throughput with decentralized transmission. In this paper, we propose a decentralized multi-cell aware opportunistic random access (MA-ORA) protocol that almost achieves the optimal throughput scaling in a multi-cell random access network with one access point (AP) and multiple users in each cell. Under our MA-ORA protocol, each user opportunistically transmits with a predefined physical layer data rate if the desired signal power to the serving AP is sufficiently large and the generating interference power is sufficiently small. As a main result, it is shown that the proposed MA-ORA protocol can achieve both the almost full multiplexing and multiuser diversity gains in a high signal-to-noise ratio regime if the number of users scales faster than a certain level. Our results are validated by computer simulations.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
Publication statusPublished - 2017 Jul 28
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 2017 May 212017 May 25

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Other2017 IEEE International Conference on Communications, ICC 2017

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (MSIP) (2015R1A2A1A15054248).

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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