Essays about: "Coverage and Capacity Optimization"

Showing result 1 - 5 of 11 essays containing the words Coverage and Capacity Optimization.

1. 1. Digital Front End Algorithms for Sub-Band Full Duplex

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

3. 2. 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

4. 3. Optimizing the locations of bike-sharing stations using GPS-based trip data: A Spatio-temporal demand coverage approach

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Birkan Caliskan; [2022]
   Keywords : Geomatics; GIS; Bike-sharing; Genetic Algorithm; Location-allocation; Site selection; Optimization; Spatial Analysis; Earth and Environmental Sciences;

   Abstract : Shared micro-mobility services are increasingly embraced by cities around the world in recent years. Their benefits over other transportation modes in certain frames encourage traffic/urban planners, public authorities to establish such systems in urban areas. READ MORE

5. 4. 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

6. 5. Machine learning based call drop healing in 5G

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Janani Ramaswamy Mudaliyar; [2020]
   Keywords : Technology and Engineering;

   Abstract : Self-Organizing Network (SON) functions include self-configuration, dynamic optimization and self-healing of networks. In the era of 5G, mobile operators are increasingly exploring areas of SON through Machine Learning (ML) techniques. READ MORE