Title:
TRANSMITTER, METHOD AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2023/189229
Kind Code:
A1
Abstract:
A transmitter 10 pairs with a receiver 20 that performs non-linear distortion compensation with deep learning. The transmitter 10 generates, in a differentiated manner, the following: a pilot signal which is used by the receiver 20 and which is for non-linear distortion compensation; and a pilot signal which is used by the receiver 20 and which is for channel estimation. The transmitter then sends (S1) said pilot signals to the receiver device 20.
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Inventors:
WATANABE TAISHI (JP)
OHSEKI TAKEO (JP)
YAMAZAKI KOSUKE (JP)
OHSEKI TAKEO (JP)
YAMAZAKI KOSUKE (JP)
Application Number:
PCT/JP2023/008236
Publication Date:
October 05, 2023
Filing Date:
March 06, 2023
Export Citation:
Assignee:
KDDI CORP (JP)
International Classes:
H04L27/26; H04B3/06; H04J13/22
Foreign References:
| JP2021507605A | 2021-02-22 | |||
| JP2018527801A | 2018-09-20 | |||
| US20170366377A1 | 2017-12-21 | |||
| JP2021507605A | 2021-02-22 | |||
| JP2022058072A | 2022-04-11 |
Other References:
XU LIANGYUAN; GAO FEIFEI; ZHANG WEI; MA SHAODAN: "Model Aided Deep Learning Based MIMO OFDM Receiver With Nonlinear Power Amplifiers", 2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), IEEE, 29 March 2021 (2021-03-29), pages 1 - 6, XP033909097, DOI: 10.1109/WCNC49053.2021.9417512
K. MEIJ. LIUX. ZHANGK. CAON. RAJATHEVAJ. WEI: "A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training", IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 69, no. 10, October 2021 (2021-10-01), pages 6722 - 6733
K. MEIJ. LIUX. ZHANGK. CAON. RAJATHEVAJ. WEI: "A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training", IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 69, no. 10, October 2021 (2021-10-01), pages 6722 - 6733
Attorney, Agent or Firm:
OHTSUKA PATENT OFFICE, P.C. (JP)
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