A deep learning‐based HARQ chase combining for FBMC‐OQAM systems-Reference-Cited by-同舟云学术

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A deep learning‐based HARQ chase combining for FBMC‐OQAM systems

Published:2021-08-26 Issue:16 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Bedoui Abla¹^ORCID,Et‐tolba Mohamed¹

Affiliation:

1. Département Systèmes de Communication Institue National des Postes et Télécommunications Rabat Morocco

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.4957

Reference31 articles.

1. BedouiA Et‐tolbaM.A comparative analysis of filter bank multicarrier (FBMC) as 5G multiplexing technique. 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM) A comparative analysis of filter bank multicarrier (FBMC) as 5G multiplexing technique;2017:1‐7.

2. ChungW KimB ChoiM et al.Synchronization Error in QAM‐Based FBMC System. 2014 IEEE Military Communications Conference 2014:699‐705.https://doi.org/10.1109/MILCOM.2014.122

3. Code Combining--A Maximum-Likelihood Decoding Approach for Combining an Arbitrary Number of Noisy Packets

4. Cross Layer 1, 2 and 5 Resource Allocation in Uplink Turbo-coded HARQ Based OFDMA Video Transmission Systems

5. Low‐complexity MMSE‐based integrated equalisation for MIMO systems with HARQ

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1. Resource allocation in 5G network using Orthogonal Frequency Division Multiplexing‐Hybrid Automatic Repeat Request;International Journal of Communication Systems;2022-09-19

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