An Energy-Efficient DL-Aided Massive Multiple Access Scheme for IoT Scenarios in Beyond 5G Networks
Author:
Affiliation:
1. Department of Electrical, Electronic and Computer Engineering and the CNIT Research Unit, University of Catania, Catania, Italy
Funder
Ministero dell'Universit? e della Ricerca
Universit? di Catania
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10106528/09995722.pdf?arnumber=9995722
Reference51 articles.
1. Prediction-Based Energy Saving Mechanism in 3GPP NB-IoT Networks
2. Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond
3. A 5G Lightweight Connectionless Protocol for Massive Cellular Internet of Things
4. An Early Preamble Collision Detection Scheme Based on Tagged Preambles for Cellular M2M Random Access
5. DNN-Aided Block Sparse Bayesian Learning for User Activity Detection and Channel Estimation in Grant-Free Non-Orthogonal Random Access
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