Presentation 2018-08-10
Blockage Aware Beam Allocation in mmWave Using Reinforcement Learning
Yuva Kumar S., Fereidoun H. Panahi, Tomoaki Ohtsuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(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)
Keyword(in English) Millimeter-wave communications / blockage probability / stochastic geometry / reinforcement learning
Paper # RCS2018-149
Date of Issue 2018-08-02 (RCS)

Conference Information
Committee SAT / RCS
Conference Date 2018/8/9(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Iwate University
Topics (in Japanese) (See Japanese page)
Topics (in English) Wireless Communications, etc.
Chair Hiroyuki Tsuji(NICT) / Tomoaki Otsuki(Keio Univ.)
Vice Chair Hisashi Sujikai(NHK) / Fumihiro Yamashita(NTT) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.)
Secretary Hisashi Sujikai(NTT) / Fumihiro Yamashita(NICT) / Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara
Assistant / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp)

Paper Information
Registration To Technical Committee on Satellite Telecommunications / Technical Committee on Radio Communication Systems
Language ENG
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)
Keyword(1) Millimeter-wave communications
Keyword(2) blockage probability
Keyword(3) stochastic geometry
Keyword(4) reinforcement learning
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
3rd Author's Affiliation Keio University(Keio Univ.)
Date 2018-08-10
Paper # RCS2018-149
Volume (vol) vol.118
Number (no) RCS-177
Page pp.pp.99-104(RCS),
#Pages 6
Date of Issue 2018-08-02 (RCS)