activity
20192024
most citedOptimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks

144 citations · 191 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI2024

Intent Profiling and Translation Through Emergent Communication

Salwa Mostafa, Mohammed S. Elbamby, Mohamed K. Abdel-Aziz +1

To effectively express and satisfy network application requirements, intent-based network management has emerged as a promising solution. In intent-based methods, users and applica…

cs.LG2023

Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction

Mohamed K. Abdelaziz, Mohammed S. Elbamby, Sumudu Samarakoon +1

Cooperative multi-agent reinforcement learning (MARL) for navigation enables agents to cooperate to achieve their navigation goals. Using emergent communication, agents learn a com…

cs.LG2020

Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning

Mohamed K. Abdel-Aziz, Cristina Perfecto, Sumudu Samarakoon +2

Cooperative perception plays a vital role in extending a vehicle's sensing range beyond its line-of-sight. However, exchanging raw sensory data under limited communication resource…

cs.NI2019★ 144 cited

Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks

Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Chen-Feng Liu +2

While the notion of age of information (AoI) has recently been proposed for analyzing ultra-reliable low-latency communications (URLLC), most of the existing works have focused on…

cs.NI2019★ 47 cited

Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach

Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Mehdi Bennis +1

In this letter, an age of information (AoI)-aware transmission power and resource block (RB) allocation technique for vehicular communication networks is proposed. Due to the highl…