Ahmed Douik
California Institute of Technology
77 Papers
615 Citations
Ahmed Douik is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Linear network coding & Network packet. The author has an hindex of 20, co-authored 77 publications. Previous affiliations of Ahmed Douik include University of British Columbia & King Abdullah University of Science and Technology.
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Papers
Cost-effective hybrid RF/FSO backhaul solution for next generation wireless systems
TL;DR: A cost-effective hybrid RF/free-space optical (FSO) solution to combine the advantages of RF backhauls (low cost, NLOS applications) and FSO backhauling (high-rate, low latency) is proposed.
153
Instantly decodable network coding for real-time device-to-device communications
TL;DR: The paper shows that, under particular scenarios, the problem boils down to a maximum clique problem and presents a fast selection algorithm, which provides appreciable complexity gain as compared to the optimal selection one, with a negligible degradation in performance.
Hybrid Radio/Free-Space Optical Design for Next Generation Backhaul Systems
TL;DR: In this article, a hybrid RF/FSO backhaul solution is proposed to minimize the cost of the backhaul network by choosing either OF or hybrid RF-FSO links between the base stations, so as to satisfy data rate, connectivity, and reliability constraints.
Resource allocation in heterogeneous cloud radio access networks: advances and challenges
TL;DR: Simulations results show how the proposed strategies provide appreciable performance improvement compared to methods from recent literature: coordinated scheduling, hybrid backhauling, and multicloud association.
96
Instantly Decodable Network Coding: From Centralized to Device-to-Device Communications
TL;DR: This paper review instantly decodable network coding schemes by identifying, categorizing, and evaluating various algorithms proposed in the literature, and identifies numerous successful schemes from both the performance and complexity viewpoints.