講演名 | 2019-11-04 [Poster Presentation] IBM's mmWave 5G Software Defined Phased Array Radio (SDPAR): A Platform for Fast Channel Measurements, Beam Optimization and Beyond Arun Paidimarri(IBM Research), Bodhisatwa Sadhu(IBM Research), Mark Ferriss(IBM Research), Mark Yeck(IBM Research), Xiaoxiong Gu(IBM Research), Alberto Valdes-Garcia(IBM Research), |
---|---|
PDFダウンロードページ | PDFダウンロードページへ |
抄録(和) | The forthcoming deployment of mmWave-enabled 5G directional mobile networks will require beam finding algorithms that can adapt to changing channel conditions. We present IBM's Software Defined Phased Array Radio (SDPAR) as a platform for driving experimental research in channel modeling, beam optimization algorithms, and beam protocol development for these emerging mmWave 5G networks. The SDPAR operates at 28-GHz and has 64 dual polarized antennas and we present the software and hardware features that make the platform unique and well-suited for these applications. As an example, we also show experimental results for a beam-finding algorithm that successfully operates in the presence of interference. |
抄録(英) | The forthcoming deployment of mmWave-enabled 5G directional mobile networks will require beam finding algorithms that can adapt to changing channel conditions. We present IBM's Software Defined Phased Array Radio (SDPAR) as a platform for driving experimental research in channel modeling, beam optimization algorithms, and beam protocol development for these emerging mmWave 5G networks. The SDPAR operates at 28-GHz and has 64 dual polarized antennas and we present the software and hardware features that make the platform unique and well-suited for these applications. As an example, we also show experimental results for a beam-finding algorithm that successfully operates in the presence of interference. |
キーワード(和) | 5G / mmWave / Phased array / SDPAR / beam finding / interference / directional mobile networks / software defined phased array radio |
キーワード(英) | 5G / mmWave / Phased array / SDPAR / beam finding / interference / directional mobile networks / software defined phased array radio |
資料番号 | |
発行日 |
研究会情報 | |
研究会 | SR |
---|---|
開催期間 | 2019/11/4(から3日開催) |
開催地(和) | Rutgers University, NJ, USA |
開催地(英) | Rutgers University Inn & Conference Center, NJ, USA |
テーマ(和) | SmartCom2019 |
テーマ(英) | SmartCom2019 |
委員長氏名(和) | 有吉 正行(NEC) |
委員長氏名(英) | Masayuki Ariyoshi(NEC) |
副委員長氏名(和) | 亀田 卓(東北大) / 田久 修(信州大) / 石津 健太郎(NICT) |
副委員長氏名(英) | Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) |
幹事氏名(和) | 矢野 一人(ATR) / 石橋 功至(電通大) / 成枝 秀介(三重大) |
幹事氏名(英) | Kazuto Yano(ATR) / Koji Ishibashi(Univ. of Electro-Comm.) / Syusuke Narieda(Mie Univ.) |
幹事補佐氏名(和) | 太田 真衣(福岡大) / 大山 哲平(富士通研) / 小林 健太郎(名大) |
幹事補佐氏名(英) | Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) |
講演論文情報詳細 | |
申込み研究会 | Technical Committee on Smart Radio |
---|---|
本文の言語 | ENG |
タイトル(和) | |
サブタイトル(和) | |
タイトル(英) | [Poster Presentation] IBM's mmWave 5G Software Defined Phased Array Radio (SDPAR): A Platform for Fast Channel Measurements, Beam Optimization and Beyond |
サブタイトル(和) | |
キーワード(1)(和/英) | 5G / 5G |
キーワード(2)(和/英) | mmWave / mmWave |
キーワード(3)(和/英) | Phased array / Phased array |
キーワード(4)(和/英) | SDPAR / SDPAR |
キーワード(5)(和/英) | beam finding / beam finding |
キーワード(6)(和/英) | interference / interference |
キーワード(7)(和/英) | directional mobile networks / directional mobile networks |
キーワード(8)(和/英) | software defined phased array radio / software defined phased array radio |
第 1 著者 氏名(和/英) | Arun Paidimarri / Arun Paidimarri |
第 1 著者 所属(和/英) | IBM Thomas J. Watson Research Center(略称:IBM Research) IBM Thomas J. Watson Research Center(略称:IBM Research) |
第 2 著者 氏名(和/英) | Bodhisatwa Sadhu / Bodhisatwa Sadhu |
第 2 著者 所属(和/英) | IBM Thomas J. Watson Research Center(略称:IBM Research) IBM Thomas J. Watson Research Center(略称:IBM Research) |
第 3 著者 氏名(和/英) | Mark Ferriss / Mark Ferriss |
第 3 著者 所属(和/英) | IBM Thomas J. Watson Research Center(略称:IBM Research) IBM Thomas J. Watson Research Center(略称:IBM Research) |
第 4 著者 氏名(和/英) | Mark Yeck / Mark Yeck |
第 4 著者 所属(和/英) | IBM Thomas J. Watson Research Center(略称:IBM Research) IBM Thomas J. Watson Research Center(略称:IBM Research) |
第 5 著者 氏名(和/英) | Xiaoxiong Gu / Xiaoxiong Gu |
第 5 著者 所属(和/英) | IBM Thomas J. Watson Research Center(略称:IBM Research) IBM Thomas J. Watson Research Center(略称:IBM Research) |
第 6 著者 氏名(和/英) | Alberto Valdes-Garcia / Alberto Valdes-Garcia |
第 6 著者 所属(和/英) | IBM Thomas J. Watson Research Center(略称:IBM Research) IBM Thomas J. Watson Research Center(略称:IBM Research) |
発表年月日 | 2019-11-04 |
資料番号 | |
巻番号(vol) | vol.119 |
号番号(no) | SR-262 |
ページ範囲 | pp.-(), |
ページ数 | |
発行日 |