2020 Fiscal Year Research-status Report
| Project/Area Number |
18K04132
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| Research Institution | Gifu University |
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Principal Investigator |
LU SHAN 岐阜大学, 工学部, 助教 (30755385)
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| Co-Investigator(Kenkyū-buntansha) |
程 俊 同志社大学, 理工学部, 教授 (00388042)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Keywords | signature code / spares recovery |
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| Outline of Annual Research Achievements |
In the multiple-access channel, when only a small number of the users are active simultaneously, by considering the signature code as a compressed sensing matrix, it is possible to estimate the channel coefficients while identifying users based on compressed sensing recovery.
In our research, we found that when the signature matrix is uniquely decodable, the decoding on {0,1} can provide the prior information about the position of the zero and nonzero elements.
We proposed a modified OMP algorithm with prior information that estimates the fading coefficients for active users based on the prior state information. We also improve the efficiency of the decoding process by deep neural network (DNN)-based decoder.
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| Current Status of Research Progress |
Current Status of Research Progress
3: Progress in research has been slightly delayed.
Reason
When the size of the signature code increases, the computational complexity to obtaining the prior information will be increased exponentially. It sounds that it is not efficient for the massive user. we have to explore the algorithm with low computational complexity to obtain the prior information.
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| Strategy for Future Research Activity |
A low-complexity list MAP decoding will be investigated to obtain the prior knowledge in the future.
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| Causes of Carryover |
2020年度、参加予定のアメリカの国際会議にオンラインになったので、出張費を次年度使用額が生じた。
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[Presentation] Optimal power allocation of superposition-coded relaying with finite-blocklength transmission over quasi-static Rayleigh channels2020
Author(s)
M. Kambara, G. Song, T. Kimura, and J. Cheng
Organizer
2020 Int. Symposium on Information Theory and Its Applications (ISITA2020), pp.534-538, 24-27, Oct. 2020, (Online), Kapolei, Aulani, Hawaii, USA.
Int'l Joint Research
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