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  1. 1. Digital Front End Algorithms for Sub-Band Full Duplex

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Nyckelord :Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Sammanfattning : 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

  2. 2. Explainable AI for Multi-Agent Control Problem

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hanna Prokopova; [2023]
    Nyckelord :;

    Sammanfattning : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. LÄS MER

  3. 3. Optimizing Realistic 3D Facial Models for VR Avatars through Mesh Simplification

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Beiqian Liu; [2023]
    Nyckelord :Mesh Simplification; Virtual Reality; Realistic Avatars; 3D Face Reconstruction;

    Sammanfattning : The use of realistic 3D avatars in Virtual Reality (VR) has gained significant traction in applications such as telecommunication and gaming, offering immersive experiences and face-to-face interactions. However, standalone VR devices often face limitations in computational resources and real-time rendering requirements, necessitating the optimization of 3D models through mesh simplification to enhance performance and ensure a smooth user experience. LÄS MER

  4. 4. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shihang Zhou; [2023]
    Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER

  5. 5. Ray-tracing Based Investigations on the Deployment of RISs in Indoor Scenarios

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Swaroop Divya Sai Prem Nambala; Dexin Kong; [2023]
    Nyckelord :Reconfigurable intelligent surface; RIS; optimization; Ray-tracing; Mixed integer linear programming MILP ; Complex impulse response; Wireless Insite.; Technology and Engineering;

    Sammanfattning : 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. LÄS MER