Essays about: "Data Aggregation in Wireless Network"

Showing result 1 - 5 of 15 essays containing the words Data Aggregation in Wireless Network.

1. 1. Fault-Tolerant Over-the-Air Federated Learning with Clustered Aggregation : Using a hierarchical architecture with hybrid digital and analog communication, to deal with byzantine users in Federated Learning over wireless networks.

   University essay from Linköpings universitet/Kommunikationssystem

   Author : David Nordlund; [2023]
   Keywords : federated learning; aircomp;

   Abstract : Rapid advancements in modern AI applications have placed unprecedented demands on large-scale connectivity and data aggregation. The vision of Internet-of-Things (IoT) is supported by a massive amount of distributed sensors and wireless devices that generate useful data for these applications. READ MORE

3. 2. Decentralized Learning over Wireless Networks with Imperfect and Constrained Communication : To broadcast, or not to broadcast, that is the question!

   University essay from Linköpings universitet/Kommunikationssystem

   Author : Martin Dahl; [2023]
   Keywords : Decentralized Stochastic Gradient Descent; Decentralized Learning; Medium Access Control; Wireless Communications; Machine Learning; Imperfect Communication; Resource-Constrained; Resource Allocation; Scheduling;

   Abstract : The ever-expanding volume of data generated by network devices such as smartphones, personal computers, and sensors has significantly contributed to the remarkable advancements in artificial intelligence (AI) and machine learning (ML) algorithms. However, effectively processing and learning from this extensive data usually requires substantial computational capabilities centralized in a server. READ MORE

4. 3. AI-Powered Network Traffic Prediction

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Amin Bolakhrif; [2021]
   Keywords : Deep Learning; IP Address; Machine Learning; Network Traffic Flows; Neural Networks; Predictive Model; Regression.; Djupinlärning; IP Address; Maskininlärning; Nätverkstrafikflöden; Neurala Nätverk; Prediktionsmodell; Regression.;

   Abstract : In this Internet and big data era, resource management has become a crucial task to ensure the quality of service for users in modern wireless networks. Accurate and rapid Internet traffic data is essential for many applications in computer networking to enable high networking performance. READ MORE

5. 4. Model-Based versus Data-Driven Control Design for LEACH-based WSN

   University essay from KTH/Maskinkonstruktion (Inst.)

   Author : Axel Karlsson; Bohan Zhou; [2020]
   Keywords : Wireless sensor network; mobile sink; LEACH; model predictive control; reinforcement learning; Deep Q-Networks; : Trådlösa sensor nätverk; LEACH; modellbaserad regulator; reinforcement learning; Deep Q-Networks;

   Abstract : In relation to the increasing interest in implementing smart cities, deployment of widespread wireless sensor networks (WSNs) has become a current hot topic. Among the application’s greatest challenges, there is still progress to be made concerning energy consumption and quality of service. READ MORE

6. 5. A Quadrature Frequency Generation Chain for Direct-conversion Phased-array 5G Transceivers

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Hamid Yadegar Amin; [2020]
   Keywords : 5G Phased array mm-wave FR2; Technology and Engineering;

   Abstract : The 5th generation (5G) has recently specified a new spectrum range, FR2- 5G New Radio (5G-NR), to provide higher spectral efficiency and channel capacity for ubiquitous cellular connectivity where the user ends can be in various types such as picocell stations, sensor nodes, cloud servers, hand-held devices, and so on. Due to the advantage of phased array antennas in performing beam-forming, and improving SNR at higher spectra, multi-antenna systems have gained an inevitable role in developing such radios. READ MORE