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Priority‐based learning automata in Q‐learning random access scheme for cellular M2M communications
2021
ETRI Journal
Machine-to-Machine (M2M) communication, also called machine-type communication (MTC), is predicted to be one of the major applications of current and future cellular communications [1, 2] . M2M communication, as defined in [3] , enables communication between various devices without or with limited human intervention. Different devices such as sensors, actuators, meters, and radio frequency tags are used as M2M devices to read the status of machines and share information, either on a wireless
doi:10.4218/etrij.2020-0091
fatcat:bmz4qb4qv5erdcrielrbfplk34