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Paper Abstract and Keywords
Presentation 2019-02-21 15:25
User Association in mmWave Networks using Reinforcement Learning
Yuva Kumar S., Fereidoun H. Panahi, Tomoaki Ohtsuki (KeioUniv)
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 User Association based on Reinforcement Learning (UARL) 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 an mmWave network where 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 UARL 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 communication / blockage probability / reinforcement learning / / / / /  
Reference Info. ITE Tech. Rep., vol. 43, no. 6, BCT2019-29, pp. 25-28, Feb. 2019.
Paper # BCT2019-29 
Date of Issue 2019-02-14 (BCT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee BCT IEEE-BT  
Conference Date 2019-02-21 - 2019-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kanponoyado Yaizu 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Students and Young Researcher Session, etc. 
Paper Information
Registration To BCT 
Conference Code 2019-02-BCT-BT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) User Association in mmWave Networks using Reinforcement Learning 
Sub Title (in English)  
Keyword(1) Millimeter-wave communication  
Keyword(2) blockage probability  
Keyword(3) reinforcement learning  
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1st Author's Name Yuva Kumar S.  
1st Author's Affiliation Keio University (KeioUniv)
2nd Author's Name Fereidoun H. Panahi  
2nd Author's Affiliation Keio University (KeioUniv)
3rd Author's Name Tomoaki Ohtsuki  
3rd Author's Affiliation Keio University (KeioUniv)
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Date Time 2019-02-21 15:25:00 
Presentation Time 20 minutes 
Registration for BCT 
Paper # BCT2019-29 
Volume (vol) vol.43 
Number (no) no.6 
Page pp.25-28 
#Pages
Date of Issue 2019-02-14 (BCT) 


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