IMRecoNet: Learn to Detect in Index Modulation Aided MIMO Systems With Complex Valued Neural Networks-Reference-Cited by-同舟云学术

IMRecoNet: Learn to Detect in Index Modulation Aided MIMO Systems With Complex Valued Neural Networks

Published:2023-02 Issue:2 Volume:72 Page:1791-1805
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhang Chenwu¹,Lu Hancheng²^ORCID,Liu Jinxue¹

Affiliation:

1. CAS Key Laboratory of Wireless-Optical Communications, School of Information Science and Technology, University of Science and Technology of China, Hefei, China

2. CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10043591/09894718.pdf?arnumber=9894718

Reference50 articles.

1. Signal Vector Based List Detection for Spatial Modulation

2. Channel Hardening-Exploiting Message Passing (CHEMP) Receiver in Large-Scale MIMO Systems

3. RoemNet: Robust Meta Learning Based Channel Estimation in OFDM Systems

4. Multiple-Input Multiple-Output OFDM With Index Modulation: Low-Complexity Detector Design

5. Spatial modulation: optimal detection and performance analysis

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