Sökning: "signal requirements"
Visar resultat 21 - 25 av 272 uppsatser innehållade orden signal requirements.
21. Predicting Waveforms with Machine Learning for Efficient Triggering in Monitoring Systems
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Energy systems need to evolve to meet the requirements of the modern world and the future. Hence, substantial effort is needed at an academic and industrial level to develop valuable diagnostic techniques. LÄS MER
22. Design of a 13-Bit SAR ADC with kT/C noise cancellation technique
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : One of the main limitations of a Successive Approximation Register (SAR) Analog-to-Digital Converter (ADC) is the large input capacitance needed to achieve the desired performance. This large input capacitance increases the total area of the ADC and it imposes the use of a powerful buffer to drive it. LÄS MER
23. Energy Consumption Trade-Offs Of Computating Offloading in 5G Networks
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : The launch of the 5th Generation (5G) mobile network allows for wireless communication at increased throughput rates and reduced latency compared to its predecessors and has opened for new possibilities in terms of computation offloading where demanding processes can be referred to powerful servers.User equipment (UE), i.e. LÄS MER
24. Beam selection using Machine Learning in Massive MIMO systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : In mobile communications the demand for increased capacity and speeds is a constant. 5G NR is the latest generation which is now seeing widespread adoption. Crucial technologies like Massive MIMO and beamforming are enabled by the use of large antenna arrays. LÄS MER
25. Improving Co-existence of URLLC and Distributed AI using RL
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In 5G, Ultra-reliable and low-Latency communications (URLLC) service is envisioned to enable use cases with strict reliability and latency requirements on wireless communication. For the upcoming 6G network, machine learning (ML) also stands an important role that introduces intelligence and further enhances the system performance. LÄS MER