Essays about: "Wireless data communication"
Showing result 1 - 5 of 473 essays containing the words Wireless data communication.
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1. Age-optimal Trajectory Planning for Multiple-UAVAssisted Data Collectio
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Unmanned Aerial Vehicles (UAVs), or drones, have become a primary tool for data collection due to their rapid and easy mobility, particularly in the current era with a high demand for real-time information updates. To serve this need, optimizing data freshness during information collection is necessary. READ MORE
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2. Comparative Analysis of In-Body to Out-Body Wireless CommunicationModules: Test Design and PerformanceEvaluation
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Wireless communication for biomedical equipment is rapidly improving with the invention of new technologies. Due to the absence of cables, wireless technology is a growing area of interest for biomedical applications. As technology advances, many gadgets are becoming smaller and more portable. READ MORE
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3. Evaluation and Optimization of LTE-V2X Mode 4 under Aperiodic Messages of Variable Size
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Vehicular networks connect vehicles for improved road safety and efficiency with the assistance of wireless information exchange. Vehicular networks are based on the frequent broadcast of awareness messages referred to as CAM (Cooperative Awareness Messages) or BSM (Basic Safety Message) in the ETSI and SAE standards, respectively. READ MORE
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4. Performance of UE Relaying for 6G Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Throughout the evolution of communication networks, users have consistently been demanding additional data and coverage. Future 6G networks seek to enable a seamless cyber-physical world through interconnected and integrated connectivity. READ MORE
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5. Over-the-Air Federated Learning with Compressed Sensing
University essay from Linköpings universitet/KommunikationssystemAbstract : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). READ MORE