Sökning: "Single Frequency Networks"
Visar resultat 1 - 5 av 53 uppsatser innehållade orden Single Frequency Networks.
1. Design of a grating lobe mitigated antenna array architecture integrated with low loss PCB filtering structures
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Massive multiple input multiple output - MIMO systems are a reality and modern communication systems rely upon this technology to cope with the increasing need for capacity and network usage. Antenna arrays are at the heart of the of the massive-MIMO system and are the enabling technology. LÄS MER
2. Digital Front End Algorithms for Sub-Band Full Duplex
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. LÄS MER
3. Simulation and Testing of a MU-MIMO Beamforming System
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Multi-User Multiple-Input Multiple-Output (MU-MIMO) technology has become increasingly important in the field of wireless communication due to its ability to highly increase the capacity and efficiency of wireless networks [1]. Beamforming, as a technique used in MU-MIMO systems, improves network performance by improving signal quality and reducing interference. LÄS MER
4. Impact of interfering rouge access points on modulationand coding in IoT network
M1-uppsats, KTH/Hälsoinformatik och logistikSammanfattning : This Bachelor thesis presents an in-depth investigation into the effects of RogueAccess Point interference within Internet of Things networks. The study focuses onthe impact of rogue APs on the modulation and coding scheme indices, round triptime, and overall network performance. LÄS MER
5. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER