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2021 年度 実績報告書

大規模センサネットワークのための符号化法の研究

研究課題

研究課題/領域番号 18K04132
研究機関岐阜大学

研究代表者

LU SHAN  岐阜大学, 工学部, 助教 (30755385)

研究分担者 程 俊  同志社大学, 理工学部, 教授 (00388042)
研究期間 (年度) 2018-04-01 – 2022-03-31
キーワードunsourced random access
研究実績の概要

In the unsourced random access (U-RA), many users with only a certain number are active in the same time slot. Each user employs the same codebook, and the task of the decoder is to recover a list of transmitted messages regardless of the user's identity. The compressed sensing(CS) approach is straightforward but with high computational complexity in addressing the U-RA problem.
A concatenated coding approach called a coded compressed sensing scheme is a low complexity method that splits each message into L sub-slots. First, an outer tree code connects the messages of all sub-slots. Then, the active users send a column from an inner CS matrix in each sub-slot. However, there is a limitation that the inner CS decoding only decodes the support of a sparse vector, which leads to each user at the same sub-slot must send a different message, and the maximum tolerable active user number is low.

We consider the inner CS decoding scheme that first decodes the amplitudes of a sparse vector and quantity them to show the number of active users choosing the same columns. Therefore, the constraint of each user sending different messages at the same sub-slot vanishes, and the maximum tolerable number of active users increases. We show the maximum tolerable active user number with various codelengths and improve the survival probabilities' upper and lower bounds of the outer tree encoder.

  • 研究成果

    (6件)

すべて 2022 2021

すべて 雑誌論文 (1件) (うち査読あり 1件) 学会発表 (5件) (うち国際学会 1件)

  • [雑誌論文] User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel2022

    • 著者名/発表者名
      WEI Lantian、LU Shan、KAMABE Hiroshi、CHENG Jun
    • 雑誌名

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      巻: E105.A ページ: 417~424

    • DOI

      10.1587/transfun.2021tap0008

    • 査読あり
  • [学会発表] Access Point Placement for Indoor Wireless LAN2021

    • 著者名/発表者名
      Yuma Narita, Shan Lu, Hiroshi Kamabe
    • 学会等名
      The 25th World Multiconference on Systemics, Cybernetics and Informatics,
    • 国際学会
  • [学会発表] Rate-compatible LDPC Code in Dynamic Environment based on Reinforcement Learning2021

    • 著者名/発表者名
      Li Zizhen, Shan Lu, Hiroshi Kamabe
    • 学会等名
      信学技報, vol. 121, no. 327, IT2021-35, pp. 40-44,
  • [学会発表] フェージングチャネル上のマルチユーザーシステムのための機械学習を用いた信号点配置の設計2021

    • 著者名/発表者名
      石橋弘也, 路 サン、 鎌部 浩
    • 学会等名
      信学技報, vol. 121, no. 327, IT2021-36, pp. 45-50,
  • [学会発表] Signature Code Designed by Binarized Neural Networks2021

    • 著者名/発表者名
      Lantian Wei, Shan Lu, Hiroshi Kamabe
    • 学会等名
      信学技報, vol. 121, no. 327, IT2021-34, pp. 34-39,
  • [学会発表] OMP Algorithm with Prior Information for Identification and Channel Estimation on Multiple Access Fading Channel2021

    • 著者名/発表者名
      Shan Lu, LianTian Wei, Hiroshi Kamabe,
    • 学会等名
      信学技報, vol. 121, no. 28, IT2021-10, pp. 54-59,

URL: 

公開日: 2022-12-28  

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