Sökning: "antenna tilt"

Visar resultat 6 - 10 av 15 uppsatser innehållade orden antenna tilt.

  1. 6. A Graph Attention plus Reinforcement Learning Method for Antenna Tilt Optimization

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

    Författare :Tengfei Ma; [2021]
    Nyckelord :Graph Attention; Reinforcement Learning; Antenna Tilt Optimization; 5G; Attention Mechanism; Graph; DQN; Back- Propagation; Gradient Descent;

    Sammanfattning : Remote Electrical Tilt optimization is an effective method to obtain the optimal Key Performance Indicators (KPIs) by remotely controlling the base station antenna’s vertical tilt. To improve the KPIs aims to improve antennas’ cooperation effect since KPIs measure the quality of cooperation between the antenna to be optimized and its neighbor antennas. LÄS MER

  3. 7. Belief-aided Robust Control for Remote Electrical Tilt Optimization

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

    Författare :Jack Jönsson; [2021]
    Nyckelord :Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

    Sammanfattning : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. LÄS MER

  4. 8. Offline Reinforcement Learning for Remote Electrical Tilt Optimization : An application of Conservative Q-Learning

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Marcus Kastengren; [2021]
    Nyckelord :Remote Electrical Tilt; Antenna Tilt Optimization; Reinforcement Learning; Offline Reinforcement Learning; Conservative Q-Learning; Fjärrlutning; Antennlutningsoptimering; Förstärkningsinlärning; Offline-förstärkningsinlärning; Konservativ Q-inlärning;

    Sammanfattning : In telecom networks adjusting the tilt of antennas in an optimal manner, the so called remote electrical tilt (RET) optimization, is a method to ensure quality of service (QoS) for network users. Tilt adjustments made during operations in real-world networks are usually executed through a suboptimal policy, and a significant amount of data is collected during the execution of such policy. LÄS MER

  5. 9. Safe Reinforcement Learning for Remote Electrical Tilt Optimization

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

    Författare :Grigorios Iakovidis; [2021]
    Nyckelord :Remote Electrical Tilt; Antenna Tilt Optimization; Reinforcement Learning; SafeReinforcement Learning; Fjärrlutning; Antennlutningsoptimering; Förstärkningsinlärning; Säker Förstärkningsinlärning;

    Sammanfattning : The adjustment of the vertical tilt angle of Base Station (BS) antennas, also known as Remote Electrical Tilt (RET) optimization, is a simple and efficient method of optimizing modern telecommunications networks. Reinforcement Learning (RL) is a machine learning framework that can solve complex problems like RET optimization due to its capability to learn from experience and adapt to dynamic environments. LÄS MER

  7. 10. LTE Mobile Network performance with Antenna Tilt considering Real Radiation Patterns

    Master-uppsats, KTH/Kommunikationssystem, CoS

    Författare :Alberto Camach Ruiz; [2015]
    Nyckelord :;

    Sammanfattning : Due to the increasing demand of traffic, mobile networks requires flexibility to modify the area of service at any time. The use of antenna tilt is a crucial element in the design of modern networks as this element can modify the area of served cell and affects several parameters like coverage capacity or energy. LÄS MER