1 citations · 1 across the 4 of their papers we have counts for
3 papers · 1 filter
Learning Random Access Schemes for Massive Machine-Type Communication with MARL
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro +1
In this paper, we explore various multi-agent reinforcement learning (MARL) techniques to design grant-free random access (RA) schemes for low-complexity, low-power battery operate…
Collision Resolution with Deep Reinforcement Learning for Random Access in Machine-Type Communication
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro
Grant-free random access (RA) techniques are suitable for machine-type communication (MTC) networks but they need to be adaptive to the MTC traffic, which is different from the hum…
Deep Reinforcement Learning for Random Access in Machine-Type Communication
Muhammad Awais Jadoon, Adriano Pastore, Monica Navarro +1
Random access (RA) schemes are a topic of high interest in machine-type communication (MTC). In RA protocols, backoff techniques such as exponential backoff (EB) are used to stabil…