ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.06923
  4. Cited By
RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM
  Symbol Detection with Limited Training

RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training

15 March 2020
Zhou Zhou
Lingjia Liu
Shashank Jere
Jianzhong Zhang
Zhang
Yuhao Yi
    ObjD
ArXivPDFHTML

Papers citing "RCNet: Incorporating Structural Information into Deep RNN for MIMO-OFDM Symbol Detection with Limited Training"

3 / 3 papers shown
Title
Universal Approximation of Linear Time-Invariant (LTI) Systems through
  RNNs: Power of Randomness in Reservoir Computing
Universal Approximation of Linear Time-Invariant (LTI) Systems through RNNs: Power of Randomness in Reservoir Computing
Shashank Jere
Lizhong Zheng
Karim A. Said
Lingjia Liu
28
2
0
04 Aug 2023
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM
  Detection
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
Jiarui Xu
Zhou Zhou
Lianjun Li
Lizhong Zheng
Lingjia Liu
35
24
0
03 Oct 2021
Federated Learning in Mobile Edge Computing: An Edge-Learning
  Perspective for Beyond 5G
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G
Shashank Jere
Q. Fan
Bodong Shang
Lianjun Li
Lingjia Liu
11
10
0
15 Jul 2020
1