174 citations · 224 across the 10 of their papers we have counts for
12 papers
Federated Learning for UAV Swarms Under Class Imbalance and Power Consumption Constraints
Ilyes Mrad, Lutfi Samara, Alaa Awad Abdellatif +3
The usage of unmanned aerial vehicles (UAVs) in civil and military applications continues to increase due to the numerous advantages that they provide over conventional approaches.…
DeepPool: Distributed Model-free Algorithm for Ride-sharing using Deep Reinforcement Learning
Abubakr Alabbasi, Arnob Ghosh, Vaneet Aggarwal
The success of modern ride-sharing platforms crucially depends on the profit of the ride-sharing fleet operating companies, and how efficiently the resources are managed. Further,…
Multi-tier Caching Analysis in CDN-based Over-the-top Video Streaming Systems
Abubakr O. Al-Abbasi, Vaneet Aggarwal, Moo-Ryong Ra
Internet video traffic has been been rapidly increasing and is further expected to increase with the emerging 5G applications such as higher definition videos, IoT and augmented/vi…
Joint Information Freshness and Completion Time Optimization for Vehicular Networks
Abubakr Alabbasi, Vaneet Aggarwal
The demand for real-time cloud applications has seen an unprecedented growth over the past decade. These applications require rapidly data transfer and fast computations. This pape…
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems
Abubakr Alabbasi, Vaneet Aggarwal, Tian Lan +3
Traffic for internet video streaming has been rapidly increasing and is further expected to increase with the higher definition videos and IoT applications, such as 360 degree vide…
Optimized Video Streaming over Cloud: A Stall-Quality Trade-off
Abubakr Alabbasi, Vaneet Aggarwal
As video-streaming services have expanded and improved, cloud-based video has evolved into a necessary feature of any successful business for reaching internal and external audienc…
Two-Stage LASSO ADMM Signal Detection Algorithm For Large Scale MIMO
Anis Elgabli, Ali Elghariani, Abubakr O. Al-Abbasi +1
This paper explores the benefit of using some of the machine learning techniques and Big data optimization tools in approximating maximum likelihood (ML) detection of Large Scale M…
Taming Tail Latency for Erasure-coded, Distributed Storage Systems
Vaneet Aggarwal, Abubakr O. Al-Abbasi, Jingxian Fan +1
Distributed storage systems are known to be susceptible to long tails in response time. In modern online storage systems such as Bing, Facebook, and Amazon, the long tails of the s…
Video Streaming in Distributed Erasure-coded Storage Systems: Stall Duration Analysis
Abubakr O. Al-Abbasi, Vaneet Aggarwal
The demand for global video has been burgeoning across industries. With the expansion and improvement of video-streaming services, cloud-based video is evolving into a necessary fe…
Design and Analysis of Sparsifying Dictionaries for FIR MIMO Equalizers
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa +1
In this paper, we propose a general framework that transforms the problems of designing sparse finite-impulseresponse linear equalizers and non-linear decision-feedback equalizers,…
Design and Analysis Framework for Sparse FIR Channel Shortening
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa +1
A major performance and complexity limitation in broadband communications is the long channel delay spread which results in a highly-frequency-selective channel frequency response.…
A General Framework for the Design and Analysis of Sparse FIR Linear Equalizers
Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa +1
Complexity of linear finite-impulse-response (FIR) equalizers is proportional to the square of the number of nonzero taps in the filter. This makes equalization of channels with lo…