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2019 Fiscal Year Research-status Report

大規模センサネットワークのための符号化法の研究

Research Project

Project/Area Number 18K04132
Research InstitutionGifu University

Principal Investigator

LU SHAN  岐阜大学, 工学部, 助教 (30755385)

Co-Investigator(Kenkyū-buntansha) 程 俊  同志社大学, 理工学部, 教授 (00388042)
Project Period (FY) 2018-04-01 – 2021-03-31
Keywordssignature code / User identification / Channel estimation / DNN based decoder / Multiple-access channel
Outline of Annual Research Achievements

We are progressing according to the plan in 2020, and achieved the following results.
The first achievement is construction of signature code in algebraic. We propose a coding scheme for a noisy MAAC. In our scheme, given a k-ary code A, with code length n and a (2k-1)-ary code B, with code length n, by a Hadamard matrix of order q we obtain a k-ary code C with code length qn. The main idea behind our coding scheme is to introduce the (2k-1)-ary code B, as well as A for constructing the k-ary code C, thus providing code C with a higher sum rate than A. This is an improvement of the sum rate compared to conventional coding schemes for a noisy MAAC, where the sum rates of C and A are always the same.
The second achievement is considering user identification and channel estimation of binary signature code by DNN-based decoder on multiple-access channel. 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. 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 a iterative deep-neural-network-based decoder. Our simulation results show that for the binary 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.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

As summarize in the Research Achievements section, the research work is smoothly progressing according to the plan in 2020.
(1). Our proposed signature code have an improvement of the sum rate compared to conventional coding schemes.
(2).The proposed DNN-based decoder also have less computing time and higher active user detection accuracy and channel estimation accuracy than the classical signal recovery algorithms in multiple-access fading channel.

Strategy for Future Research Activity

今後の研究推進方策は、ランダムアクセススロット割当方式とシステム性能評価。
(1)グラフ理論に基づき、各ユーザの共通符号の符号語のスロットへの割り当てを最適化する。
(2)システム性能評価: 情報理論及び符号理論により、各要素技術を理論解析し、全システム性能を把握したうえ、シミュレーションで確認する。

Causes of Carryover

2020年度に、DNN based multi-user 復号器の提案を行い、その結果を基にシミュレーションを行うとともにシンポジウムにおいて発表する予定であったが、コロナであったため、出張計画を変更し、未使用額が生じた。
このため、その結果をシンポジウムでの発表を次年度に行うこととし、未使用額はその経費に充てること としたい。

  • Research Products

    (10 results)

All 2020 2019

All Journal Article (3 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results) Presentation (7 results) (of which Int'l Joint Research: 2 results)

  • [Journal Article] Raptor Codes With Descending Order Degrees for AWGN Channels2020

    • Author(s)
      Yu Wei、Narayanan Krishna、Cheng Jun、Wu Jun
    • Journal Title

      IEEE Communications Letters

      Volume: 24 Pages: 29~33

    • DOI

      10.1109/LCOMM.2019.2948906

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] A User-Independent Successive Interference Cancellation Based Coding Scheme for the Unsourced Random Access Gaussian Channel2019

    • Author(s)
      Vem Avinash、Narayanan Krishna R.、Chamberland Jean-Francois、Cheng Jun
    • Journal Title

      IEEE Transactions on Communications

      Volume: 67 Pages: 8258~8272

    • DOI

      10.1109/TCOMM.2019.2940216

  • [Journal Article] Union Bound Analysis and Code Design for Multilevel Flash Memory Channels2019

    • Author(s)
      Song Guanghui、Cai Kui、Cheng Jun
    • Journal Title

      IEEE Transactions on Communications

      Volume: 67 Pages: 5963~5980

    • DOI

      10.1109/TCOMM.2019.2922391

  • [Presentation] Partial access for LDPC-coded-IDMA systems2019

    • Author(s)
      A. Osamura, G. Song, T. Kimura, and J. Cheng
    • Organizer
      Proc. the 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 6 pages, September 8-11, 2019, Turkey, Istanbul.
    • Int'l Joint Research
  • [Presentation] 空間結合Slotted ALOHAシステムにおける有限長パケット伝送特性の解析2019

    • Author(s)
      井上 智貴,木村 共孝, 程 俊
    • Organizer
      第42回情報理論とその応用シンポジウム予稿集, pp. 239-243, 11月26日-29日, 鹿児島県霧島市霧島国際ホテル, 日本, 2019.
  • [Presentation] レイリーフェージング環境下重畳符号化を用いた協調通信における送信電力と送信符号長の最適化2019

    • Author(s)
      神原 征弥, 木村 共孝, 程 俊
    • Organizer
      第42回情報理論とその応用シンポジウム予稿集, pp.244-249, 11月26日-29日, 鹿児島県霧島市霧島国際ホテル, 日本, 2019.
  • [Presentation] IDMAのための部分アクセス方式の提案とEXITチャート解析2019

    • Author(s)
      長村 明, 宋 光輝, 木村 共孝, 程 俊
    • Organizer
      第42回情報理論とその応用シンポジウム予稿集, pp. 341-346, 11月26日-29日, 鹿児島県霧島市霧島国際ホテル, 日本, 2019.
  • [Presentation] Multi-user UD k-ary codes recursively constructed from short-length multiary codes for multiple-access adder channel2019

    • Author(s)
      S. Lu, W. Hou, J. Cheng, H. Kamabe
    • Organizer
      Proc. of 2019 IEEE International Symposium on Information Theory (ISIT2019), pp.425-429, Paris, France,7-12 July 2019.
    • Int'l Joint Research
  • [Presentation] User Identification Through Signature Codes over a Fading Channel2019

    • Author(s)
      M. Gul, S. Lu and H. Kamabe
    • Organizer
      信学技報, vol. 119, no. 376, IT2019-50, pp. 87-91, 2020年1月.
  • [Presentation] フェージングを考慮した再生系の性能評価2019

    • Author(s)
      諫山茉奈,路サン,鎌部浩
    • Organizer
      信学技報, vol. 119, no. 464, MRIS2019-46, pp. 1-5, 2020年3月.

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Published: 2021-01-27  

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