Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks-Reference-Cited by-同舟云学术

Deep learning-driven opportunistic spectrum access (OSA) framework for cognitive 5G and beyond 5G (B5G) networks

Published:2021-12 Issue: Volume:123 Page:102632
ISSN:1570-8705
Container-title:Ad Hoc Networks
language:en
Short-container-title:Ad Hoc Networks

Author:

Ahmed Ramsha^ORCID,Chen Yueyun,Hassan Bilal^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference46 articles.

1. China digital radio (CDR) system and its application in emergency broadcasting;Gao;IEEE Trans. Broadcast.,2019

2. An imperceptible medical image watermarking framework for automated diagnosis of retinal pathologies in an eHealth arrangement;Hassan;IEEE Access,2019

3. OCRNN: An orthogonal constrained recurrent neural network for sleep analysis based on EEG data;Zhu;Ad Hoc Netw.,2020

4. Joint segmentation and quantification of chorioretinal biomarkers in optical coherence tomography scans: A deep learning approach;Hassan;IEEE Trans. Instrum. Meas.,2021

5. Improved unsupervised coloring algorithm for spectrum allocation in multiple wireless body area networks;Ma;Ad Hoc Netw.,2021

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