| 講演名 | 2018-08-10 Blockage Aware Beam Allocation in mmWave Using Reinforcement Learning Yuva Kumar S.(慶大), Fereidoun H. Panahi(慶大), Tomoaki Ohtsuki(慶大), |
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| PDFダウンロードページ |  PDFダウンロードページへ |
| 抄録(和) | 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. |
| 抄録(英) | 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. |
| キーワード(和) | Millimeter-wave communications / blockage probability / stochastic geometry / reinforcement learning |
| キーワード(英) | Millimeter-wave communications / blockage probability / stochastic geometry / reinforcement learning |
| 資料番号 | RCS2018-149 |
| 発行日 | 2018-08-02 (RCS) |
| 研究会情報 | |
| 研究会 | SAT / RCS |
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| 開催期間 | 2018/8/9(から2日開催) |
| 開催地（和） | 岩手大学 |
| 開催地（英） | Iwate University |
| テーマ（和） | 移動衛星通信、放送、誤り訂正、無線通信一般 |
| テーマ（英） | Wireless Communications, etc. |
| 委員長氏名（和） | 辻 宏之(NICT) / 大槻 知明(慶大) |
| 委員長氏名（英） | Hiroyuki Tsuji(NICT) / Tomoaki Otsuki(Keio Univ.) |
| 副委員長氏名（和） | 筋誡 久(NHK) / 山下 史洋(NTT) / 福田 英輔(富士通研) / 須山 聡(NTTドコモ) / 前原 文明(早大) |
| 副委員長氏名（英） | Hisashi Sujikai(NHK) / Fumihiro Yamashita(NTT) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) |
| 幹事氏名（和） | 柴山 大樹(NTT) / 高橋 卓(NICT) / 西村 寿彦(北大) / 石原 浩一(NTT) |
| 幹事氏名（英） | Hiroki Shibayama(NTT) / Takashi Takahashi(NICT) / Toshihiko Nishimura(Hokkaido Univ.) / Koichi Ishihara(NTT) |
| 幹事補佐氏名（和） | / 村岡 一志(ＮＴＴドコモ) / 衣斐 信介(阪大) / 西本 浩(三菱電機) / 安達 宏一(電通大) / 中村 理(シャープ) |
| 幹事補佐氏名（英） | / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) |
| 講演論文情報詳細 | |
| 申込み研究会 | Technical Committee on Satellite Telecommunications / Technical Committee on Radio Communication Systems |
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| 本文の言語 | ENG |
| タイトル（和） | |
| サブタイトル（和） | |
| タイトル（英） | Blockage Aware Beam Allocation in mmWave Using Reinforcement Learning |
| サブタイトル（和） | |
| キーワード(1)（和/英） | Millimeter-wave communications / Millimeter-wave communications |
| キーワード(2)（和/英） | blockage probability / blockage probability |
| キーワード(3)（和/英） | stochastic geometry / stochastic geometry |
| キーワード(4)（和/英） | reinforcement learning / reinforcement learning |
| 第 1 著者 氏名（和/英） | Yuva Kumar S. / Yuva Kumar S. |
| 第 1 著者 所属（和/英） | Keio University(略称：慶大) Keio University(略称：Keio Univ.) |
| 第 2 著者 氏名（和/英） | Fereidoun H. Panahi / Fereidoun H. Panahi |
| 第 2 著者 所属（和/英） | Keio University(略称：慶大) Keio University(略称：Keio Univ.) |
| 第 3 著者 氏名（和/英） | Tomoaki Ohtsuki / Tomoaki Ohtsuki |
| 第 3 著者 所属（和/英） | Keio University(略称：慶大) Keio University(略称：Keio Univ.) |
| 発表年月日 | 2018-08-10 |
| 資料番号 | RCS2018-149 |
| 巻番号（vol） | vol.118 |
| 号番号（no） | RCS-177 |
| ページ範囲 | pp.99-104(RCS), |
| ページ数 | 6 |
| 発行日 | 2018-08-02 (RCS) |