Sökning: "Radio Resource Scheduling"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Radio Resource Scheduling.

  1. 1. Using search based methods for beamforming

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Adam Bergman Karlsson; [2024]
    Nyckelord :Beamforming; Artificial Intelligence; AlphaZero; Radio Resource Management; Monte Carlo Tree Search;

    Sammanfattning : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. LÄS MER

  3. 2. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models

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

    Författare :Rikard Fridsén Skogsberg; [2022]
    Nyckelord :Multi-Objective Reinforcement Learning; Radio Resource Scheduling; Deep Q-Networks; Single-policy; Multi-policy; Scalarization.; Flermåls förstärkningsinlärning; Radio resurs schemaläggning; Djupa Q-nätverk; Enskilt mål; Flermål;

    Sammanfattning : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. LÄS MER

  4. 3. AI-Powered Network Traffic Prediction

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

    Författare :Amin Bolakhrif; [2021]
    Nyckelord :Deep Learning; IP Address; Machine Learning; Network Traffic Flows; Neural Networks; Predictive Model; Regression.; Djupinlärning; IP Address; Maskininlärning; Nätverkstrafikflöden; Neurala Nätverk; Prediktionsmodell; Regression.;

    Sammanfattning : In this Internet and big data era, resource management has become a crucial task to ensure the quality of service for users in modern wireless networks. Accurate and rapid Internet traffic data is essential for many applications in computer networking to enable high networking performance. LÄS MER

  5. 4. User Equipment Characterization using Machine Learning

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

    Författare :Vanessa Fakhoury; Xin Zhou; [2019]
    Nyckelord :machine learning; characterization; massive MIMO; beamforming; neural networks; support vector machine; logistic regression; multiclass neural networks; Technology and Engineering;

    Sammanfattning : With the ever increasing demand for higher data rates and reliability, efficient management of cellular networks remains a challenge. Among other technologies, fifth generation systems are expected to tackle this challenge using large electronically controllable antenna arrays operating in the time division duplex mode. LÄS MER

  7. 5. Traffic Model for Cellular Network Analysis

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

    Författare :Mohanad Amer; Shishira Puttaswamy; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The development of new wireless cellular network technologies is always in progress. As 3G has been considered the foundation of mobile broadband, the latest generation of cellular mobile communications, that is, 5G New Radio, is expected to realize the networked society, where everyone and everything are seamlessly connected everywhere and every time. LÄS MER