11 citations · 19 across the 15 of their papers we have counts for
7 papers · 1 filter
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association
Boris Galkin, Erika Fonseca, Ramy Amer +2
Unmanned Aerial Vehicles (UAVs) are emerging as important users of next-generation cellular networks. By operating in the sky, UAV users experience very different radio conditions…
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning
Erika Fonseca, Boris Galkin, Ramy Amer +2
Providing reliable connectivity to cellular-connected UAV can be very challenging; their performance highly depends on the nature of the surrounding environment, such as density an…
Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks
Ramy Amer, Hesham ElSawy, Jacek Kibiłda +2
Caching at mobile devices and leveraging cooperative device-to-device (D2D) communications are two promising approaches to support massive content delivery over wireless networks w…
Optimized Caching and Spectrum Partitioning for D2D enabled Cellular Systems with Clustered Devices
Ramy Amer, Hesham Elsawy, M. Majid Butt +3
Caching at mobile devices and leveraging device- to-device (D2D) communication are two promising approaches to support massive content delivery over wireless networks. The analysis…
Optimizing Joint Probabilistic Caching and Channel Access for Clustered D2D Networks
Ramy Amer, M. Majid Butt, Nicola Marchetti
Caching at mobile devices and leveraging device-to-device (D2D) communication are two promising approaches to support massive content delivery over wireless networks. Analysis of s…
Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach
Boris Galkin, Ramy Amer, Erika Fonseca +1
Fifth Generation (5G) cellular networks are expected to provide cellular connectivity for vehicular users, including Unmanned Aerial Vehicles (UAVs). When flying in the air, these…