| Presentation | 2022-01-20 Rate-compatible LDPC Code in Dynamic Environment based on Reinforcement Learning Li Zizhen, Shan Lu, Hiroshi Kamabe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | To balance the time delay caused by switching code rates and the system performance, we proposed a code rate switching algorithm in the dynamic communication environment based on reinforcement learning to increase the average transmission rate. We define a Markov Decision Process (MDP) and create a Q-table (as policy) that represents the expectation of the future reward for performing an action (R) under a particular state (SNR, R). Then, a proposed reinforcement learning algorithm is developed to find the optimal selection of coding rate. The simulation result shows that the proposed system significantly improved the transmission rate while satisfying the system performance requirement. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Reinforcement LearningLDPC codeRate-compatible |
| Paper # | IT2021-35,SIP2021-43,RCS2021-203 |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) |
| Conference Information | |
| Committee | RCS / SIP / IT |
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| Conference Date | 2022/1/20(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Yukihiro Bandou(NTT) / Tadashi Wadayama(Nagoya Inst. of Tech.) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Takayuki Nakachi(Ryukyu Univ.) / Tetsuya Kojima(Tokyo Kosen) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Xiaomi) / Toshihisa Tanaka(Takushoku Univ.) / Takayuki Nakachi(Tokyo Univ. Agri.&Tech.) / Tetsuya Kojima(Saitamai Univ.) |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Taichi Yoshida(UEC) / Seisuke Kyochi(Univ. of Kitakyushu) / Masanori Hirotomo(Saga Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Signal Processing / Technical Committee on Information Theory |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Rate-compatible LDPC Code in Dynamic Environment based on Reinforcement Learning |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement LearningLDPC codeRate-compatible |
| 1st Author's Name | Li Zizhen |
| 1st Author's Affiliation | Gifu University(Gifu Univ.) |
| 2nd Author's Name | Shan Lu |
| 2nd Author's Affiliation | Gifu University(Gifu Univ.) |
| 3rd Author's Name | Hiroshi Kamabe |
| 3rd Author's Affiliation | Gifu University(Gifu Univ.) |
| Date | 2022-01-20 |
| Paper # | IT2021-35,SIP2021-43,RCS2021-203 |
| Volume (vol) | vol.121 |
| Number (no) | IT-327,SIP-328,RCS-329 |
| Page | pp.pp.40-44(IT), pp.40-44(SIP), pp.40-44(RCS), |
| #Pages | 5 |
| Date of Issue | 2022-01-13 (IT, SIP, RCS) |