Paper Abstract and Keywords |
Presentation |
2018-08-10 15:45
Blockage Aware Beam Allocation in mmWave Using Reinforcement Learning Yuva Kumar S., Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2018-149 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
With the advent of the fifth generation (5G) systems, there is an increasing demand for high data rate transmission and serving the increased proliferation of mobile and connected devices. This, in turn, has seen spectrum crunch to serve the demand. One major solution is to move towards millimeter-wave (mmWave) frequencies due to its large spectral bandwidth. However, mmWave frequencies experience large propagation path loss and are very sensitive to blockages like human bodies and buildings. This gives rise to unstable connectivity and unreliable communication. In this report, we propose a Blockage Aware Beam Allocation (BABA) for a typical user equipment (UE) in mmWave networks to reduce the number of blockages experienced by the UE. We use reinforcement learning (RL), where the base station (BS) would be updated with the available and possible blockages for a UE. We consider a mmWave network where base stations (BSs) are distributed in the landscape such that it satisfies path diversity for the UE at any given point, i.e., each UE will be served by secondary beam once the UE experiences blockage in the initial beam. Investigation of the performance of the BABA shows better performance in terms of the number of blockages experienced by the UEs than the mmWave network without RL. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Millimeter-wave communications / blockage probability / stochastic geometry / reinforcement learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 177, RCS2018-149, pp. 99-104, Aug. 2018. |
Paper # |
RCS2018-149 |
Date of Issue |
2018-08-02 (RCS) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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RCS2018-149 |
Conference Information |
Committee |
SAT RCS |
Conference Date |
2018-08-09 - 2018-08-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Iwate University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Communications, etc. |
Paper Information |
Registration To |
RCS |
Conference Code |
2018-08-SAT-RCS |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Blockage Aware Beam Allocation in mmWave Using Reinforcement Learning |
Sub Title (in English) |
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Keyword(1) |
Millimeter-wave communications |
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blockage probability |
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stochastic geometry |
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reinforcement learning |
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1st Author's Name |
Yuva Kumar S. |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Fereidoun H. Panahi |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Tomoaki Ohtsuki |
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Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2018-08-10 15:45:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2018-149 |
Volume (vol) |
vol.118 |
Number (no) |
no.177 |
Page |
pp.99-104 |
#Pages |
6 |
Date of Issue |
2018-08-02 (RCS) |
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