| Presentation | 2018-03-09 Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance Ryotaro Konno, Yosuke Sugiura, Tetsuya Shimamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a new method for improving the bit error rate (BER) and the computational complexity in Maximum Likelihood Detection employing QR decomposition and the M-algorithm (QRM-MLD) which provides high performance among the signal separation techniques for Multiple Input Multiple Output (MIMO). QRM-MLD utilizing noise variance is regarded as an effective method to reduce the computatonal complexity. However, the method can not cope with the gap from the average noise power at each stage. In the proposed method, we can obtain better performance by setting thresholds according to the variations in the noise power at each stage. Simulation results show that the proposed method can improve the BER and the computational complexity compared with the conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | MLD / MIMO / QR decomposition |
| Paper # | SIS2017-66 |
| Date of Issue | 2018-03-01 (SIS) |
| Conference Information | |
| Committee | SIS |
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| Conference Date | 2018/3/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Meijo Univ. Tempaku Campus |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Soft Computing, etc. |
| Chair | Hirokazu Tanaka(Hiroshima City Univ.) |
| Vice Chair | Takayuki Nakachi(NTT) / Noriaki Suetake(Yamaguchi Univ.) |
| Secretary | Takayuki Nakachi(Kanagawa Inst. of Tech.) / Noriaki Suetake(Kyushu Inst. of Tech.) |
| Assistant | Masaaki Fujiyoshi(Tokyo Metropolitan Univ.) / Takanori Koga(TCT) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance |
| Sub Title (in English) | |
| Keyword(1) | MLD |
| Keyword(2) | MIMO |
| Keyword(3) | QR decomposition |
| 1st Author's Name | Ryotaro Konno |
| 1st Author's Affiliation | Saitama University(Saitama Univ.) |
| 2nd Author's Name | Yosuke Sugiura |
| 2nd Author's Affiliation | Saitama University(Saitama Univ.) |
| 3rd Author's Name | Tetsuya Shimamura |
| 3rd Author's Affiliation | Saitama University(Saitama Univ.) |
| Date | 2018-03-09 |
| Paper # | SIS2017-66 |
| Volume (vol) | vol.117 |
| Number (no) | SIS-482 |
| Page | pp.pp.51-56(SIS), |
| #Pages | 6 |
| Date of Issue | 2018-03-01 (SIS) |