Sökning: "Mobile Network Optimization"

Visar resultat 6 - 10 av 63 uppsatser innehållade orden Mobile Network Optimization.

1. 6. Reducing Power Consumption For Signal Computation in Radio Access Networks : Optimization With Linear Programming and Graph Attention Networks

   Master-uppsats, Linköpings universitet/Programvara och system

   Författare :Martin Nordberg; [2023]
   Nyckelord :Cloud RAN; Constrained optimization; Mixed integer linear programming; MILP; Machine learning; Graph neural network; Graph attention network; GAT;

   Sammanfattning : There is an ever-increasing usage of mobile data with global traffic having reached 115 exabytes per month at the end of 2022 for mobile data traffic including fixed wireless access. This is projected to grow up to 453 exabytes at the end of 2028, according to Ericssons 2022 mobile data traffic outlook report. LÄS MER

3. 7. Formation Control of UAVs for Positioning and Tracking of a Moving Target

   Master-uppsats, Linköpings universitet/Fordonssystem

   Författare :Robert Carsk; Alexander Jeremic; [2023]
   Nyckelord :Autonomous; UAVs; Drones; Sensor Fusion; MPC; Filter; KF; EKF; Signal; Tracking; Formation; Controller; Control; MWSN; Optimal Control Problem; Optimization; Seeker Drone; Target Drone; Quadcopter Model; Simulation;

   Sammanfattning : The potential of Unmanned Aerial Vehicles (UAVs) for surveillance and military applications is significant — with continued technical advances in the field. The number of incidents where UAVs have intruded into unauthorized areas has increased in recent years and armed drones are commonly used in modern warfare. LÄS MER

4. 8. Access Point Selection and Clustering Methods with Minimal Switching for Green Cell-Free Massive MIMO Networks

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

   Författare :Qinglong He; [2022]
   Nyckelord :Cell-free massive MIMO; multi-objective optimization; deep reinforcement learning; AP switch ON OFF; energy efficiency; Cellfri massiv MIMO; multiobjektiv optimering; djup förstärkningsinlärning; AP switch ON OFF; energieffektivitet;

   Sammanfattning : As a novel beyond fifth-generation (5G) concept, cell-free massive MIMO (multiple-input multiple-output) recently has become a promising physical-layer technology where an enormous number of distributed access points (APs), coordinated by a central processing unit (CPU), cooperate to coherently serve a large number of user equipments (UEs) in the same time/frequency resource. However, denser AP deployment in cell-free networks as well as an exponentially growing number of mobile UEs lead to higher power consumption. LÄS MER

5. 9. Community Detection in Directed Graphs for Cell-to-Sector Mapping Using Handover Statistics in Mobile Communication Networks

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

   Författare :David Rommedahl; [2022]
   Nyckelord :Community detection; Communications networks; Handover; Sectors; Directed graphs; Binary classification; Graph clustering; Gemenskapsdetektion; Kommunikationsnätverk; Handover; Sektorer; Riktade grafer; Binär klassification; Grafklustring;

   Sammanfattning : Many use cases in mobile communication networks are dependent on knowledge of which cells serve the same sector. These use cases include network planning, optimization and troubleshooting. Current methods of obtaining knowledge regarding this cell-to-sector mapping are based on naming conventions of cells. LÄS MER

7. 10. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization

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

   Författare :Viktor Eriksson Möllerstedt; [2022]
   Nyckelord :Reinforcement Learning; Sample Efficiency; Model-based; Expert Policy; Remote Electrical Tilt; Telecommunication; Förstärkande inlärning; dataeffektivitet; modell-baserad; expert-policy; fjärrstyrning av antenners nedåtlutning; telekommunikation;

   Sammanfattning : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. LÄS MER