| Presentation | 2017-06-23 A Study on Low Latency Hybrid ARQ Method Using Channel State Information Before Channel Decoding Yuta Imamura, Dairoku Muramatsu, Yoshihisa Kishiyama, Kenichi Higuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The 5G wireless communication system is expected to support a wider range of wireless communication services such as massive machine-type communications (mMTC) and ultra-reliable low latency communications (URLLC) in addition to the enhanced mobile broadband (eMBB). This paper focuses on the reduction in latency of the hybrid automatic repeat request (HARQ) aiming at the application to the URLLC. Although the HARQ using error detection coding and powerful error correction coding such as turbo code and low density parity check (LDPC) code achieves low error rate transmission efficiently, drawback to this protocol is increased transmission latency mainly due to the delay time required for the channel decoding. This paper proposes a low latency HARQ method using the channel state information before the channel decoding. The proposed method can reduce the transmission latency by early retransmission request before the channel decoding process is completed. We consider two metrics for the decision on the early retransmission request: (1) mutual information (MI) calculated from the signal-to-noise ratio (SNR) of the received packet and (2) log-likelihood ratio (LLR) of the coded bits obtained from the signal detection result of the received packet. Simulation results show that the proposed method successfully reduces the transmission latency at the cost of very small throughput loss. Among two metrics, the LLR-based method is effective for reducing the throughput loss due to unnecessary retransmission request before channel decoding. Meanwhile, the MI-based method is effective in further reduction in the transmission latency. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 5G / HARQ / URLLC / retransmission / mutual information / LLR |
| Paper # | RCS2017-83 |
| Date of Issue | 2017-06-14 (RCS) |
| Conference Information | |
| Committee | RCS |
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| Conference Date | 2017/6/21(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ishigaki Shoukou Kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | First Presentation in IEICE Technical Committee, Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Resource Control, Scheduling, Wireless Communication Systems, etc. |
| Chair | Tomoaki Otsuki(Keio Univ.) |
| Vice Chair | Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) |
| Secretary | Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara |
| Assistant | Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Low Latency Hybrid ARQ Method Using Channel State Information Before Channel Decoding |
| Sub Title (in English) | |
| Keyword(1) | 5G |
| Keyword(2) | HARQ |
| Keyword(3) | URLLC |
| Keyword(4) | retransmission |
| Keyword(5) | mutual information |
| Keyword(6) | LLR |
| 1st Author's Name | Yuta Imamura |
| 1st Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 2nd Author's Name | Dairoku Muramatsu |
| 2nd Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| 3rd Author's Name | Yoshihisa Kishiyama |
| 3rd Author's Affiliation | NTT DOCOMO, INC.(NTT DOCOMO) |
| 4th Author's Name | Kenichi Higuchi |
| 4th Author's Affiliation | Tokyo University of Science(Tokyo Univ. of Science) |
| Date | 2017-06-23 |
| Paper # | RCS2017-83 |
| Volume (vol) | vol.117 |
| Number (no) | RCS-103 |
| Page | pp.pp.197-202(RCS), |
| #Pages | 6 |
| Date of Issue | 2017-06-14 (RCS) |