Master Thesis: Quality of Service for AI Token Traffic in 6G Networks

Teknik, data och digitalt · Mjukvaru- och webbutveckling · Mjukvaruutveckling · Datavetenskap

I korthet

This Master Thesis project investigates the Quality of Service requirements for AI token traffic in 6G mobile networks. The work involves literature study, AI traffic characterization, and simulation to evaluate existing and new QoS mechanisms for supporting AI workloads.

Ansvarsområden

Review current state of the art in AI traffic characterization and 3GPP QoS mechanisms.
Characterize traffic patterns of token traffic generated by different AI services.
Develop or extend simulations to model AI token traffic over a mobile network.
Evaluate how existing QoS mechanisms perform for this traffic class and identify potential gaps.

Krav

Student in electrical engineering, computer science, computer engineering, or similar.
Understanding of mobile network architecture (4G/5G) and QoS concepts.
Familiarity with machine learning concepts, particularly large language models.
Programming experience in Python.
Interest in 3GPP standardization and telecom research.

Önskade kvalifikationer

Experience with C++ is a plus.

Förmåner

30hp thesis work
Gain insights into AI traffic characteristics and QoS in future mobile networks.

Färdigheter

PythonC++AILarge Language ModelsMachine LearningNetwork SimulationQuality of Service3GPP

#6G#AI Traffic#Quality of Service#Large Language Models#Token Communication#Network Simulation#3GPP

Om Ericsson

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