Essays about: "telecommunication in traffic"
Showing result 1 - 5 of 48 essays containing the words telecommunication in traffic.
-
1. A Multi-Variate Regression Analysis on Telecommunication Sites in a Sub-Saharan Country
University essay from KTH/Matematisk statistikAbstract : The purpose of this bachelor thesis is to investigate how different variables impact voice and data traffic for a telecom operator that operates in an undisclosed Sub-Saharan African country. The data has been provided by said company. READ MORE
-
2. Forecasting Codeword Errors in Networks with Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With an increasing demand for rapid high-capacity internet, the telecommunication industry is constantly driven to explore and develop new technologies to ensure stable and reliable networks. To provide a competitive internet service in this growing market, proactive detection and prevention of disturbances are key elements for an operator. READ MORE
-
3. Analyzing the Performance of Linux Networking Approaches for Packet Processing : A Comparative Analysis of DPDK, io_uring and the standard Linux network stack
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This thesis investigates the network performance of DPDK, io_uring, and the standard Linux network stack in terms of latency, packet loss, throughput, and packet rate. DPDK is widely adopted in the telecommunication industry and has been for several years. READ MORE
-
4. Traffic Prediction From Temporal Graphs Using Representation Learning
University essay from KTH/Matematisk statistikAbstract : With the arrival of 5G networks, telecommunication systems are becoming more intelligent, integrated, and broadly used. This thesis focuses on predicting the upcoming traffic to efficiently promote resource allocation, guarantee stability and reliability of the network. READ MORE
-
5. Scalable Distributed Reinforcement Learning for Radio Resource Management
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : There is a large potential for automation and optimization in radio access networks (RANs) using a data-driven approach to efficiently handle the increase in complexity due to the steep growth in traffic and new technologies introduced with the development of 5G. Reinforcement learning (RL) has natural applications in RAN control loops such as link adaptation, interference management and power control at different timescales commonly occurring in the RAN context. READ MORE