activity
20162020
most citedTowards Low-Latency and Ultra-Reliable Virtual Reality

573 citations · 971 across the 9 of their papers we have counts for

collaborators

11 papers

cs.LG2020★ 7 cited

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.LG2020★ 3 cited

Cross Layer Optimization and Distributed Reinforcement Learning for Wireless 360° Video Streaming

Anis Elgabli, Mohammed S. Elbamby, Cristina Perfecto +3

Wirelessly streaming high quality 360 degree videos is still a challenging problem. When there are many users watching different 360 degree videos and competing for the computing a…

cs.NI2019

Wireless Edge Computing with Latency and Reliability Guarantees

Mohammed S. Elbamby, Cristina Perfecto, Chen-Feng Liu +4

Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth gene…

eess.SP2019

Mobile XR over 5G: A way forward with mmWaves and Edge

Cristina Perfecto, Mohammed S. Elbamby, Jihong Park +2

This e-letter summarizes our most recent work and contributed approaches to increase the capacity, cut down on the latency and provide higher reliability in several extended realit…

cs.IT2018★ 129 cited

Taming the latency in multi-user VR 360: A QoE-aware deep learning-aided multicast framework

Cristina Perfecto, Mohammed S. Elbamby, Javier Del Ser +1

Immersive virtual reality (VR) applications require ultra-high data rate and low-latency for smooth operation. Hence in this paper, aiming to improve VR experience in multi-user VR…

cs.IT2018★ 74 cited

Edge Computing Meets Millimeter-wave Enabled VR: Paving the Way to Cutting the Cord

Mohammed S. Elbamby, Cristina Perfecto, Mehdi Bennis +1

In this paper, a novel proactive computing and mmWave communication for ultra-reliable and low latency wireless virtual reality (VR is proposed. By leveraging information about use…

cs.IT2018★ 573 cited

Towards Low-Latency and Ultra-Reliable Virtual Reality

Mohammed S. Elbamby, Cristina Perfecto, Mehdi Bennis +1

Virtual Reality (VR) is expected to be one of the killer-applications in 5G networks. However, many technical bottlenecks and challenges need to be overcome to facilitate its wide…

cs.IT2017★ 20 cited

Beyond WYSIWYG: Sharing Contextual Sensing Data Through mmWave V2V Communications

Cristina Perfecto, Javier Del Ser, Mehdi Bennis +1

In vehicular scenarios context awareness is a key enabler for road safety. However, the amount of contextual information that can be collected by a vehicle is stringently limited b…

cs.NI2016★ 154 cited

Millimeter Wave V2V Communications: Distributed Association and Beam Alignment

Cristina Perfecto, Javier Del Ser, Mehdi Bennis

Recently millimeter-wave bands have been postulated as a means to accommodate the foreseen extreme bandwidth demands in vehicular communications, which result from the disseminatio…

cs.NI2016★ 1 cited

Dynamic Proximity-aware Resource Allocation in Vehicle-to-Vehicle (V2V) Communications

Muhammad Ikram Ashraf, Mehdi Bennis, Cristina Perfecto +1

In this paper, a novel proximity and load-aware resource allocation for vehicle-to-vehicle (V2V) communication is proposed. The proposed approach exploits the spatio-temporal traff…

cs.NI2016★ 10 cited

Beamwidth Optimization in Millimeter Wave Small Cell Networks with Relay Nodes: A Swarm Intelligence Approach

Cristina Perfecto, Javier Del Ser, Muhammad Ikram Ashraf +2

Millimeter wave (mmWave) communications have been postulated as one of the most disruptive technologies for future 5G systems. Among mmWave bands the 60-GHz radio technology is spe…