Essays about: "RADIO ACCESS"
Showing result 1 - 5 of 272 essays containing the words RADIO ACCESS.
-
1. Increasing energy efficiency of O-RAN through utilization of xApps
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : As 5G becomes more established and faces widespread roll-out, energy consumption of radio access networks around the globe will increase. Since the high-frequency radio waves used in 5G communication has a shorter effective range compared to the waves used in previous generations, 5G networks will require a higher number of radio units to compensate for their reduced range. READ MORE
-
2. Transformer Offline Reinforcement Learning for Downlink Link Adaptation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent advancements in Transformers have unlocked a new relational analysis technique for Reinforcement Learning (RL). This thesis researches the models for DownLink Link Adaptation (DLLA). READ MORE
-
3. Design and Implementation of an Efficient Intrusion Response System for 5G RAN Baseband Units
University essay from Linköpings universitet/Databas och informationsteknikAbstract : The 5G Radio Access Network (RAN) is a critical system that must be secured against potential attacks, particularly its Base-Band Unit (BBU), which is a common target for intrusions. Ericsson, which is a big provider of such systems, has placed significant emphasis on implementing Intrusion Detection Systems (IDS) to detect threats. READ MORE
-
4. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Cellular network deployment scenarios refer to how cellular networks are implementedand deployed by network operators to provide wireless connectivity to end users.These scenarios can vary based on capacity requirements, type of geographical area, populationdensity, and specific use cases. READ MORE
-
5. Integrating Machine Learning into Constraint Programming for Radio Recommendation in Radio Access Networks
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This thesis introduces an approach for integrating Machine Learning into Constraint Programming for recommender systems. The main idea is to use clustering algorithms to divide the data into groups, which we use to derive objective functions that are used in a constraint solver. READ MORE