| Presentation | 2023-01-24 Approximation of PF metric in cell range extension using Neural Network Kusaka Yuki, Miki nobuhiko, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The research and development of Beyond 5G (B5G) is currently underway around the world, and B5G requires even higher capacity than 5G, which requires an increase in base station density and the use of higher frequency bands. In addition, proper allocation of these radio resources (base stations and frequency bands are collectively referred to as radio resources) is also important to achieve the benefits of increased radio resources. In this paper, we discuss a learning method for machine learning in an allocation method that combines convex optimization based on proportional fairness norms and machine learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Small cell / Cell range expansion / Proportional fairness criteria / Neural network |
| Paper # | IT2022-31,SIP2022-82,RCS2022-210 |
| Date of Issue | 2023-01-17 (IT, SIP, RCS) |
| Conference Information | |
| Committee | IT / RCS / SIP |
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| Conference Date | 2023/1/24(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Maebashi Terrsa |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tetsuya Kojima(Tokyo Kosen) / Kenichi Higuchi(Tokyo Univ. of Science) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) |
| Vice Chair | Yasuyuki Nogami(Okayama Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Koichi Ichige(Yokohama National Univ.) / Takayuki Nakachi(Ryukyu Univ.) |
| Secretary | Yasuyuki Nogami(Saitamai Univ.) / Tomoya Tandai(Nagaoka Univ. of Tech.) / Fumihide Kojima(Panasonic) / Osamu Muta(Univ. of Electro-Comm) / Koichi Ichige(Sharp) / Takayuki Nakachi(Tokyo Univ. Agri.&Tech.) |
| Assistant | Takayuki Nozaki(Yamaguchi Univ.) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Taichi Yoshida(UEC) / Shoko Imaizumi(Chiba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Information Theory / Technical Committee on Radio Communication Systems / Technical Committee on Signal Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Approximation of PF metric in cell range extension using Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Small cell |
| Keyword(2) | Cell range expansion |
| Keyword(3) | Proportional fairness criteria |
| Keyword(4) | Neural network |
| 1st Author's Name | Kusaka Yuki |
| 1st Author's Affiliation | Kagawa University(Kagawa Univ) |
| 2nd Author's Name | Miki nobuhiko |
| 2nd Author's Affiliation | Kagawa University(Kagawa Univ) |
| Date | 2023-01-24 |
| Paper # | IT2022-31,SIP2022-82,RCS2022-210 |
| Volume (vol) | vol.122 |
| Number (no) | IT-355,SIP-356,RCS-357 |
| Page | pp.pp.13-18(IT), pp.13-18(SIP), pp.13-18(RCS), |
| #Pages | 6 |
| Date of Issue | 2023-01-17 (IT, SIP, RCS) |