| Presentation | 2020-07-16 User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel Lantian Wei, Shan Lu, Hiroshi Kamabe, Jun Cheng, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The user identification scheme for multiple-access fading channel based on the random generated (0,1,-1)-signature code is considered. In the previous works, the signature code was used over a noisy multiple-access adder channel and only the status of uses are decoded by the signature decoder. In this paper, by considering the communication model as a compressed sensing process, it is possible to estimate the channel coefficients while identifying users. To improve the efficiency of the decoding process, we proposed an iterative deep-neural-network(DNN)-based decoder. Our simulation results show that for the random generated (0,1,-1)-signature code, our proposed DNN-based decoder requires less computing time to achieve higher active user detection accuracy and channel estimation accuracy than the classical signal recovery algorithm used in compressed sensing. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | signature codedeep neural networkcompressed sensinguser identificationchannel estimation |
| Paper # | IT2020-12 |
| Date of Issue | 2020-07-09 (IT) |
| Conference Information | |
| Committee | IT |
|---|---|
| Conference Date | 2020/7/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Freshman session, General |
| Chair | Tadashi Wadayama(Nagoya Inst. of Tech.) |
| Vice Chair | Tetsuya Kojima(Tokyo Kosen) |
| Secretary | Tetsuya Kojima(Yamaguchi Univ.) |
| Assistant | Takahiro Ohta(Senshu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Information Theory |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel |
| Sub Title (in English) | |
| Keyword(1) | signature codedeep neural networkcompressed sensinguser identificationchannel estimation |
| 1st Author's Name | Lantian Wei |
| 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.) |
| 4th Author's Name | Jun Cheng |
| 4th Author's Affiliation | Doshisha University(Doshisha Univ.) |
| Date | 2020-07-16 |
| Paper # | IT2020-12 |
| Volume (vol) | vol.120 |
| Number (no) | IT-105 |
| Page | pp.pp.7-12(IT), |
| #Pages | 6 |
| Date of Issue | 2020-07-09 (IT) |