Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial [PDF]
IEEE Communications Surveys and Tutorials, 2020 Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have led to multiple successes in solving sequential decision-making problems in various domains, particularly in wireless communications.
Amal Feriani, E. Hossain
semanticscholar +1 more source
Channel Measurement and Modeling for 5G Urban Microcellular Scenarios
Sensors, 2016 In order to support the development of channel models for higher frequency bands, multiple urban microcellular measurement campaigns have been carried out in Berlin, Germany, at 60 and 10 GHz.
Michael Peter +4 more
doaj +1 more source
Local Information Sharing System With Wireless Device-to-Device Communications
IEEE Access, 2020 This study aims to develop a system of device-to-device (D2D) communications for information collection, distribution and sharing among local communities.
Lin Shan +3 more
doaj +1 more source
Security in Wireless Sensor Networks: Issues and Challenges [PDF]
, 2006 Wireless Sensor Network (WSN) is an emerging technology that shows great promise for various futuristic applications both for mass public and military.
Delic, H, Ersoy, C, Onel, T, Onur, Ertan
core +3 more sources
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks [PDF]
IEEE Transactions on Wireless Communications, 2019 Reconfigurable intelligent surfaces (RIS) is a promising solution to build a programmable wireless environment via steering the incident signal in fully customizable ways with reconfigurable passive elements.
Huayan Guo +3 more
semanticscholar +1 more source
Hidden Anchor: A Lightweight Approach for Physical Layer Location Privacy
Journal of Computer Systems, Networks, and Communications, 2010 In hybrid wireless sensor networks, where trusted and un-trusted nodes coexist, it becomes important to allow trusted nodes to share information, especially, location information and prevent un-trusted nodes from gaining access to this information.
Rania El-Badry +2 more
doaj +1 more source
Wavelength Dependent Graphene Oxide-Based Optical Microfiber Sensor for Ammonia Gas
Sensors, 2021 Ammonia detection in ambient air is critical, given its implication on the environment and human health. In this work, an optical fiber tapered to a 20 µm diameter and coated with graphene oxide was developed for absorbance response monitoring of ammonia
Saad Hayatu Girei +5 more
doaj +1 more source
Convergence Time Optimization for Federated Learning Over Wireless Networks [PDF]
IEEE Transactions on Wireless Communications, 2020 In this paper, the convergence time of federated learning (FL), when deployed over a realistic wireless network, is studied. In particular, a wireless network is considered in which wireless users transmit their local FL models (trained using their ...
Mingzhe Chen +3 more
semanticscholar +1 more source
Common security issues and challenges in wireless sensor networks and IEEE 802.11 wireless mesh networks [PDF]
, 2009 Both Wireless Mesh Network (WMN) and Wireless Sensor Network (WSN) are multi-hop wireless networks. WMN is an emerging community based integrated broadband wireless network which ensures high bandwidth ubiquitous internet provision to users, while, WSN ...
Loo, KK, Naeem, T
core +1 more source
Scheduling Policies for Federated Learning in Wireless Networks [PDF]
IEEE Transactions on Communications, 2019 Motivated by the increasing computational capacity of wireless user equipments (UEs), e.g., smart phones, tablets, or vehicles, as well as the increasing concerns about sharing private data, a new machine learning model has emerged, namely federated ...
Howard H. Yang +3 more
semanticscholar +1 more source