Essays about: "Antenna Tilt Optimization"
Showing result 6 - 10 of 11 essays containing the words Antenna Tilt Optimization.
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6. A Graph Attention plus Reinforcement Learning Method for Antenna Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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7. Belief-aided Robust Control for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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8. Offline Reinforcement Learning for Remote Electrical Tilt Optimization : An application of Conservative Q-Learning
University essay from KTH/Matematik (Avd.)Abstract : 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. READ MORE
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9. Safe Reinforcement Learning for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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10. Self-optimization of Antenna Tilt in Mobile Networks
University essay from KTH/Kommunikationssystem, CoS; KTH/KTH Center för Trådlösa System, Wireless@kthAbstract : The increased complexity of mobile networks, the need to deliver high data rate services and the variation of mobile traffic put a high burden on operation and maintenance in terms of extra workload and additional costs . New approaches to network optimization and management should be taken into account to increase network performance and reduce operational costs. READ MORE
