H
Hakim Ghazzai
Researcher at Stevens Institute of Technology
Publications - 208
Citations - 2589
Hakim Ghazzai is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Computer science & Cellular network. The author has an hindex of 21, co-authored 168 publications receiving 1655 citations. Previous affiliations of Hakim Ghazzai include Qatar University & Qatar Airways.
Papers
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Joint Position and Travel Path Optimization for Energy Efficient Wireless Data Gathering Using Unmanned Aerial Vehicles
TL;DR: This paper proposes an energy-efficient solution minimizing the UAV and/or sensors energy consumption while accomplishing a tour to collect data from the spatially distributed wireless sensors.
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Optimized LTE Cell Planning With Varying Spatial and Temporal User Densities
TL;DR: This paper proposes a novel method for the cell planning problem for fourth-generation (4G) cellular networks using metaheuristic algorithms to satisfy both cell coverage and capacity constraints simultaneously by formulating an optimization problem that captures practical planning aspects.
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Energy-Efficient Management of Unmanned Aerial Vehicles for Underlay Cognitive Radio Systems
TL;DR: An energy-efficient solution to minimize the MUAV’s flying and communication energies while integrating cognitive radio technology is proposed and is shown that the proposed solution achieves very close results to those of the PSO in spite of their different conceptional constructions.
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Optimized Smart Grid Energy Procurement for LTE Networks Using Evolutionary Algorithms
TL;DR: GA-based and PSO-based methods that reduce the energy consumption of BSs by not only shutting down underutilized BSs but by optimizing the amounts of energy procured from different retailers (renewable energy and electricity retailers), as well are proposed.
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Achievable Rates of UAV-Relayed Cooperative Cognitive Radio MIMO Systems
TL;DR: This work derives the optimal power allocation that maximizes the achievable rate of the SU respecting power budget, interference, and relay power constraints, and highlights the cognitive rate gain of the proposed scheme with respect to various problem parameters.