Essays about: "signal intelligence"
Showing result 6 - 10 of 48 essays containing the words signal intelligence.
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6. Ray-tracing Based Investigations on the Deployment of RISs in Indoor Scenarios
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Reconfigurable intelligence surface (RIS) is a promising candidate technology for future 6G wireless communication systems. In existing communication systems, the network operators are unable to control the propagation environment, which causes significant limitations on communication performance. READ MORE
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7. Machine Learning-based MIMO Indoor Positioning
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : 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. READ MORE
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8. Improving Co-existence of URLLC and Distributed AI using RL
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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9. Real-time remote processing enabled by high speed Ethernet
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : A growing trend within the technologies acting as enablers for 6g, such as Massive MIMO and Large Intelligence Surfaces, is benefiting from both the communication and the positioning aspects that they can provide. As these kinds of systems are employing a large number of arrays which provide high amounts of data, a distributed hardware approach having near-antenna processing is explored in this work. READ MORE
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10. Intelligence Extraction Using Machine Learning for Threat Identification Purposes : An Overview
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Radar is an invaluable tool for detecting and assessing threats on land, on the seas and in the air. To properly evaluate threats, radar operators construct threat libraries where the signal characteristics of emitters are stored and mapped to specific types of platforms. READ MORE