Decentralized Grant-Free mMTC Traffic Multiplexing With eMBB Data Through Deep Reinforcement Learning

This paper addresses the problem of joint multiplexing of enhanced Mobile Broadband (eMBB) and massive Machine-Type Communications (mMTC) traffic in the same uplink time-frequency RG. Given the challenge posed by a potentially large number of users, it is essential to focus on a multiple access stra...

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Bibliographic Details

Published in:	IEEE Transactions on Machine Learning in Communications and Networking
Main Authors:	Giovanni Di Gennaro, Amedeo Buonanno, Gianmarco Romano, Stefano Buzzi, Francesco A. N. Palmieri
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	mMTC eMBB grant-free access deep reinforcement learning POMDP DQN
Online Access:	https://ieeexplore.ieee.org/document/10689612/