Essays about: "remote electrical tilt optimization"

Showing result 1 - 5 of 11 essays containing the words remote electrical tilt optimization.

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

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Abstract : 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. READ MORE

3. 2. Personalization with Reward Shaping for Remote Electrical Tilt Optimization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Daniel Schmekel; [2022]
   Keywords : Reward shaping; personalization; RET optimization; Reinforcement learning; Reward shaping; individuell anpassning; RET optimering;

   Abstract : Remote electrical tilt (RET) optimization involves maximizing the coverage and minimizing interference for antennas in a cellular network. A RET optimization problem typically has many of antennas, each of which has little data. Reinforcement learning (RL) agents have recently been deployed to solve RET optimization problems [1, 2]. READ MORE

4. 3. Explainable Reinforcement Learning for Remote Electrical Tilt Optimization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Artin Mirzaian; [2022]
   Keywords : Reinforcement Learning; Explainability; Explainable Reinforcement Learning; Machine Learning; Artificial Intelligence; Remote Electrical tilt optimization.; Förstärkningsinlärning; Förklarbarhet; Förklarbar Förstärkningsinlärning; Maskininlärning; Artificiell Intelligens; Optimering av Fjärrlutning.;

   Abstract : Controlling antennas’ vertical tilt through Remote Electrical Tilt (RET) is an effective method to optimize network performance. Reinforcement Learning (RL) algorithms such as Deep Reinforcement Learning (DRL) have been shown to be successful for RET optimization. READ MORE

5. 4. Bridging Sim-to-Real Gap in Offline Reinforcement Learning for Antenna Tilt Control in Cellular Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Mayank Gulati; [2021]
   Keywords : reinforcement learning; transfer learning; simulation-to-reality; simulator; realworld; real-world network data; remote electrical tilt optimization; cellular networks; antenna tilt; network optimization.;

   Abstract : Antenna tilt is the angle subtended by the radiation beam and horizontal plane. This angle plays a vital role in determining the coverage and the interference of the network with neighbouring cells and adjacent base stations. READ MORE

6. 5. Bayesian Off-policy Sim-to-Real Transfer for Antenna Tilt Optimization

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Albin Larsson Forsberg; [2021]
   Keywords : Simulation to Reality; Coverage and Capacity Optimization; Remote Electrical Tilt; Reinforcement Learning; Bayesian Optimization; Domain Randomization; Off- policy Estimation; Simulering till Verklighet; Täckning och Kapacitetsoptimering; Fjärrstyrning av Elektrisk Lutning; Förstärkningsinlärning; Bayesiansk Optimering; Domänrandomisering; Off- policyskattning;

   Abstract : Choosing the correct angle of electrical tilt in a radio base station is essential when optimizing for coverage and capacity. A reinforcement learning agent can be trained to make this choice. If the training of the agent in the real world is restricted or even impossible, alternative methods can be used. READ MORE