Sökning: "Throughput estimation"

Visar resultat 1 - 5 av 34 uppsatser innehållade orden Throughput estimation.

  1. 1. Enhancing the performance of mobile networks using Kubernetes : Load balancing traffic by utilizing workload estimation

    Master-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Lucas Laukka; Carl Fransson; [2023]
    Nyckelord :Kubernetes; Load Balancing; KPNG; Mobile Network; 5G; Algorithm;

    Sammanfattning : As global mobile network usage increases rapidly and users demand lower latency, the importance of stable 5G networks is more critical than ever. One way to orchestrate mobile network backends is by using Kubernetes. LÄS MER

  3. 2. Analysis and Measurement of Key Performance Indicators for MIMO Antennas

    Master-uppsats, Umeå universitet/Institutionen för fysik

    Författare :Ossian Kynman; [2023]
    Nyckelord :MIMO; Diversity Gain; Capacity; Correlation; Fading;

    Sammanfattning : Multiple-in multiple-out (MIMO) is a wireless communication technique where antenna arrays, at the receiver and transmitter, utilize signal multipath propagation to increase data throughput capacity. The unique benefits MIMO provides have over the last 20 years led to the steady increase in usage in both Wi-Fi and mobile networks. LÄS MER

  4. 3. Real-time remote processing enabled by high speed Ethernet

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Dumitra Iancu; Lina Tinnerberg; [2023]
    Nyckelord :Large Intelligent Surfaces; Deep Neural Networks; FPGA; VHDL; Ethernet; Technology and Engineering;

    Sammanfattning : A growing trend within the technologies acting as enablers for 6g, such as Massive MIMO and Large Intelligence Surfaces, is benefiting from both the communication and the positioning aspects that they can provide. As these kinds of systems are employing a large number of arrays which provide high amounts of data, a distributed hardware approach having near-antenna processing is explored in this work. LÄS MER

  5. 4. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

    Författare :Siva Satya Sri Ganesh Seeram; [2022]
    Nyckelord :Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

    Sammanfattning : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. LÄS MER

  7. 5. Bottleneck analysis and throughput estimation for gearbox manufacturing

    Master-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakulteten

    Författare :David Eriksson; Simon Karlsson; [2022]
    Nyckelord :Discrete event simulation; pull manufacturing; throughput estimation; bottleneck analysis;

    Sammanfattning : This simulation study was carried out at a company in the automotive industry. In their factory, the company manufactures gearboxes, where the gearbox assembly is one step in the manufacturing process. In the main assembly line, many different gearbox variants are manufactured, each with its own cycle time in the different assembly stations. LÄS MER