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Title:
ACTIVE USER DETECTION AND CHANNEL ESTIMATION METHOD AND DEVICE, USING DEEP NEURAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2022/114561
Kind Code:
A1
Abstract:
Provided is an active user detection and channel estimation method of a base station in a wireless communication system based on grant-free uplink transmission. The method, according to one embodiment, comprises the steps of: receiving superimposed signals (I) from k active terminals; by using a first artificial neural network and using the received signals (I) as input, calculating, for all terminals in a cell of a base station, an estimated probability (II) of each of the terminals being an active terminal; and estimating channels of the active terminals by using a second artificial neural network and using the received signals (I) and an active user detection result value as input.

Inventors:
SHIM BYONGHYO (KR)
AHN YONGJUN (KR)
Application Number:
PCT/KR2021/015558
Publication Date:
June 02, 2022
Filing Date:
November 01, 2021
Export Citation:
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Assignee:
SEOUL NAT UNIV R&DB FOUNDATION (KR)
International Classes:
H04L25/02; G06N3/02
Foreign References:
KR20200066220A2020-06-09
KR20200130970A2020-11-23
KR20200057608A2020-05-26
KR20190014928A2019-02-13
US20190147713A12019-05-16
Other References:
AHN YONGJUN; KIM WONJUN; SHIM BYONGHYO: "Deep Neural Network-based Joint Active User Detection and Channel Estimation for mMTC", ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 7 June 2020 (2020-06-07), pages 1 - 6, XP033798263, DOI: 10.1109/ICC40277.2020.9149252
KIM WONJUN; AHN YONGJUN; SHIM BYONGHYO: "Deep Neural Network-Based Active User Detection for Grant-Free NOMA Systems", IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 68, no. 4, 24 January 2020 (2020-01-24), pages 2143 - 2155, XP011783303, ISSN: 0090-6778, DOI: 10.1109/TCOMM.2020.2969184
Attorney, Agent or Firm:
KIM, Sun-young (KR)
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