Sökning: "radio access networks"

Visar resultat 1 - 5 av 135 uppsatser innehållade orden radio access networks.

  1. 1. Increasing energy efficiency of O-RAN through utilization of xApps

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Fredrik Borg; [2023]
    Nyckelord :telecom; o-ran; ric; xapp; radio access networks; energy efficiency;

    Sammanfattning : 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. LÄS MER

  2. 2. Transformer Offline Reinforcement Learning for Downlink Link Adaptation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexander Mo; [2023]
    Nyckelord :Link Adaptation; Transformers; Reinforcement Learning; Sequence Modelling; Decision Transformer; Deep Neural Networks; Radio Resource Management; Telecommunication; Länkanpassning; Transformers; Reinforcement Learning; Sekvensmodellering; Beslutsstöd; Djupa neurala nätverk; Dataresurshantering; Telekommunikation;

    Sammanfattning : 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). LÄS MER

  3. 3. Machine Learning Clustering andClassification of Network DeploymentScenarios in a Telecom Networksetting

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Chayan Shrang Raj; [2023]
    Nyckelord :Telecommunications; Statistics; Machine Learning; Masters; PySpark; Python; Data Visualization; LTE; eNodeB; Data analysis; Data Science; AI; Jupyter; HDFS;

    Sammanfattning : 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. LÄS MER

  4. 4. Integrating Machine Learning into Constraint Programming for Radio Recommendation in Radio Access Networks

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :José Ruiz Alarcón; [2023]
    Nyckelord :;

    Sammanfattning : 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. LÄS MER

  5. 5. AI Based Methods for Matrix Multiplication in High Resolution Simulations of Radio Access Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Marcus Johnson; Herman Forslund; [2023]
    Nyckelord :Product-Quantization; MADDNESS; Radio Access Networks; Channel Estimation; MIMO; Approximate Matrix Multiplication; Pruduktkvantisering; MADDNESS; RAN; MIMO; Approximativa matrismultiplikation;

    Sammanfattning : The increasing demand for mobile data has placed significant strain on radio access networks (RANs), leading to a continuous need for increased network capacity. In keeping with that, a significant advancement in modern RANs is the ability to utilize several receivers and transmitters, to allow for beamforming. LÄS MER