Essays about: "Antenna Tilt Optimization"
Showing result 1 - 5 of 11 essays containing the words Antenna Tilt Optimization.
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1. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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2. Explainable AI for Multi-Agent Control Problem
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : 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. READ MORE
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3. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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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)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
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5. Bayesian Off-policy Sim-to-Real Transfer for Antenna Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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