A Storm over Potential 5G Interference

Numerical and Synoptic Study of Emission, Transport and Identify Potential Sources of a Severe Dust Storm Over Middle East

One of the powerful tools in dust storms analysis that have recently found extensive application is atmospheric-chemistry numerical modeling. Spatial and temporal distribution of Middle Eastern dust for a severe dust event during 4-8 July 2009 was analyzed by Weather Research and Forecasting with Chemistry (WRF/Chem) model simulations and remote sensing observations. The HYSPLIT model is applie...

Interference Minimization in 5G Heterogeneous Networks

In this paper, we focus on one of the representative 5G network scenarios, namely multi-tier heterogeneous cellular networks. User association is investigated in order to reduce the down-link co-channel interference. Firstly, in order to analyze the multi-tier heterogeneous cellular networks where the base stations in different tiers usually adopt different transmission powers, we propose a Tra...

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management Ursula Challita∗, Walid Saad†, and Christian Bettstetter‡ ∗School of Informatics, The University of Edinburgh, Edinburgh, UK. Email: [email protected]. †Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA. Email: [email protected]. ‡Alpen-Adria-Unive...

Towards 5G Network Slicing over Multiple-Domains

5G Mobile Communication: Technology Enablers & Interference Mitigation Methods

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