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Showing result 1 - 5 of 51 essays matching the above criteria.
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1. Utilizing Neural Networks To Adaptively Demodulate And Decode Signals In An Impulsive Environment
University essay from Uppsala universitet/Avdelningen för datalogiAbstract : Electromagnetic disturbance can be detrimental to the performance of a radio communication system, and in today’s society where more and more electronic devices are present in our everyday life it is increasingly vital to consider man-made interference. A communication system can take into consideration the noise characteristics and by doing so will excel in such areas, however, this follows that the algorithms utilized in such systems are more computationally complex and are therefore slow. READ MORE
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2. Design Guidelines of A Low Power Communication Protocol for Zero Energy Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Lågströmskommunikationsprotokoll såsom 6LoWPAN har använts i stor utsträckning för applikationer som kräver mindre energiförbrukning för trådlös kommunikation på korta avstånd, exempelvis IoT-enheter. Eftersom antalet sådana enheter ökar blir det allt viktigare att överväga ambient energy harvesting som en energikälla för att driva sådana enheter. READ MORE
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3. TUNABLE ANTENNAS FOR CLOSED-LOOP SYSTEMS
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Tunable antennas have emerged as a promising technology to address the challenges of achieving optimal performance across a wide range of frequencies. This abstract presents a study focused on designing and implementing an ideal antenna system design within a closed-loop system. Background. READ MORE
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4. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. READ MORE
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5. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. READ MORE
