Multi-cell aware opportunistic random access

Huifa Lin; Won Yong Shin

doi:10.1109/ISIT.2017.8006986

Multi-cell aware opportunistic random access

Huifa Lin, Won Yong Shin

Department of Computational Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 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 language	English
Title of host publication	2017 IEEE International Symposium on Information Theory, ISIT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2533-2537
Number of pages	5
ISBN (Electronic)	9781509040964
DOIs	https://doi.org/10.1109/ISIT.2017.8006986
Publication status	Published - 2017 Aug 9
Event	2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Germany Duration: 2017 Jun 25 → 2017 Jun 30

Publication series

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

Other

Other	2017 IEEE International Symposium on Information Theory, ISIT 2017
Country/Territory	Germany
City	Aachen
Period	17/6/25 → 17/6/30

Bibliographical note

Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1A1A2A10000835) and by the Ministry of Science, ICT & Future Planning (MSIP) (2015R1A2A1A15054248).

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modelling and Simulation
Applied Mathematics

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10.1109/ISIT.2017.8006986

Cite this

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title = "Multi-cell aware opportunistic random access",

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.",

author = "Huifa Lin and Shin, {Won Yong}",

note = "Funding Information: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1A1A2A10000835) and by the Ministry of Science, ICT & Future Planning (MSIP) (2015R1A2A1A15054248). Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Symposium on Information Theory, ISIT 2017 ; Conference date: 25-06-2017 Through 30-06-2017",

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language = "English",

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Lin, H & Shin, WY 2017, Multi-cell aware opportunistic random access. in 2017 IEEE International Symposium on Information Theory, ISIT 2017., 8006986, IEEE International Symposium on Information Theory - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 2533-2537, 2017 IEEE International Symposium on Information Theory, ISIT 2017, Aachen, Germany, 17/6/25. https://doi.org/10.1109/ISIT.2017.8006986

Multi-cell aware opportunistic random access. / Lin, Huifa; Shin, Won Yong.
2017 IEEE International Symposium on Information Theory, ISIT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2533-2537 8006986 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N1 - Funding Information: This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2017R1A1A2A10000835) and by the Ministry of Science, ICT & Future Planning (MSIP) (2015R1A2A1A15054248). Publisher Copyright: © 2017 IEEE.

PY - 2017/8/9

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N2 - 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.

AB - 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.

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Multi-cell aware opportunistic random access

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