Title:
METHOD AND APPARATUS FOR DETERMINING SIGNAL DETECTION NETWORK
Document Type and Number:
WIPO Patent Application WO/2022/217609
Kind Code:
A1
Abstract:
The present disclosure relates to a method and apparatus for determining a signal detection network. The method comprises: determining sample communication parameters of communication performed between a sample transmitting end and a sample receiving end by means of a sample intelligent reflecting surface (IRS) (S101); and training an initial neural network on the basis of a training sample set composed of the sample communication parameters, so as to obtain a signal detection network, wherein an input of the initial neural network is the sample communication parameters, and an output of the initial neural network is an estimated value of a transmitted signal of the sample transmitting end (S102). By means of the present disclosure, an initial neural network can be trained on the basis of a training sample set, so as to obtain a signal detection network. Since the neural network is not a linear algorithm, and the neural network is not limited to performing calculation on a linear relationship, same can be effectively used for signal detection even in a complex communication environment having many nonlinear factors, and can obtain a high-precision estimation result for a transmitted signal.
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Inventors:
CHEN DONG (CN)
Application Number:
PCT/CN2021/087901
Publication Date:
October 20, 2022
Filing Date:
April 16, 2021
Export Citation:
Assignee:
BEIJING XIAOMI MOBILE SOFTWARE CO LTD (CN)
International Classes:
H04L25/02
Foreign References:
| CN112134816A | 2020-12-25 | |||
| CN111817768A | 2020-10-23 | |||
| KR102192234B1 | 2020-12-17 |
Other References:
LIU SHIYU, LEI MING, ZHAO MIN-JIAN: "Deep Learning Based Channel Estimation for Intelligent Reflecting Surface Aided MISO-OFDM Systems", 2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), IEEE, 1 November 2020 (2020-11-01) - 16 December 2020 (2020-12-16), pages 1 - 5, XP055977125, ISBN: 978-1-7281-9484-4, DOI: 10.1109/VTC2020-Fall49728.2020.9348697
ELBIR AHMET M.; PAPAZAFEIROPOULOS ANASTASIOS; KOURTESSIS PANDELIS; CHATZINOTAS SYMEON: "Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems", IEEE WIRELESS COMMUNICATIONS LETTERS, IEEE, PISCATAWAY, NJ, USA, vol. 9, no. 9, 8 May 2020 (2020-05-08), Piscataway, NJ, USA , pages 1447 - 1451, XP011807800, ISSN: 2162-2337, DOI: 10.1109/LWC.2020.2993699
ELBIR AHMET M.; PAPAZAFEIROPOULOS ANASTASIOS; KOURTESSIS PANDELIS; CHATZINOTAS SYMEON: "Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems", IEEE WIRELESS COMMUNICATIONS LETTERS, IEEE, PISCATAWAY, NJ, USA, vol. 9, no. 9, 8 May 2020 (2020-05-08), Piscataway, NJ, USA , pages 1447 - 1451, XP011807800, ISSN: 2162-2337, DOI: 10.1109/LWC.2020.2993699
Attorney, Agent or Firm:
BEIJING BESTIPR INTELLECTUAL PROPERTY LAW CORPORATION (CN)
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