| Presentation | 2016-06-23 Channel Compression for Massive MIMO based on Principal Component Analysis with Channel Prediction and Differential Quantization Rei Nagashima, Tomoaki Ohtsuki, Wenjie Jiang, Yasushi Takatori, Tadao Nakagawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation).However, there exists an issue such as the increase of the amount of feedback of channel state information (CSI) from the receiver to the transmitter, due to the enormous number of antennas.For the purpose of solving this issue, there exists the technique to compress CSI to a lower dimension matrix and decrease the amount of feedback, by using principal component analysis (PCA).In this method, the compression matrix used in PCA is generated based on the past CSI at the receiver, which leads to the degradation of transmission rate due to the channel variation during the feedback.Moreover, in this method, the amount of feedback is dependent on the size of the compression matrix, and if the size of the compression matrix is large, the effect of the reduction of the feedback becomes small.In this report, to solve these problems, we propose the method based on PCA with channel prediction and differential quantization oh the channels and the compression matrices.By the computer simulation, it is shown that the system capacity is increased by generating the compression matrix from the predicted channel, and the amount of feedback is reduced by quantizing the difference of the channels and the compression matrices. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Massive MIMO / Channel Compression / Channel Prediction / Principal Component Analysis / 5G |
| Paper # | RCS2016-59 |
| Date of Issue | 2016-06-15 (RCS) |
| Conference Information | |
| Committee | RCS |
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| Conference Date | 2016/6/22(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Univ. of the Ryukyus |
| 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 | Hidekazu Murata(Kyoto Univ.) |
| Vice Chair | Satoshi Denno(Okayama Univ.) / Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) |
| Secretary | Satoshi Denno(Toshiba) / Yukitoshi Sanada(NTT DoCoMo) / Eisuke Fukuda |
| Assistant | Tetsuya Yamamoto(Panasonic) / Toshihiko Nishimura(Hokkaido Univ.) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) |
| 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) | Channel Compression for Massive MIMO based on Principal Component Analysis with Channel Prediction and Differential Quantization |
| Sub Title (in English) | |
| Keyword(1) | Massive MIMO |
| Keyword(2) | Channel Compression |
| Keyword(3) | Channel Prediction |
| Keyword(4) | Principal Component Analysis |
| Keyword(5) | 5G |
| 1st Author's Name | Rei Nagashima |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Tomoaki Ohtsuki |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| 3rd Author's Name | Wenjie Jiang |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 4th Author's Name | Yasushi Takatori |
| 4th Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 5th Author's Name | Tadao Nakagawa |
| 5th Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| Date | 2016-06-23 |
| Paper # | RCS2016-59 |
| Volume (vol) | vol.116 |
| Number (no) | RCS-110 |
| Page | pp.pp.75-80(RCS), |
| #Pages | 6 |
| Date of Issue | 2016-06-15 (RCS) |