Mobile networks all over the world are the corner stone for the networked society, where everything will be connected. To support the vast amount and diversity of data expected in future networks, Ericsson develops products to drive and support the networked society. The objective of this thesis is to investigate and develop algorithms, architecture, tools etc. to support huge increase of speech, data, and massive IoT for Radio Access Networks.

Thesis Description

Media Over QUIC (moq) is an upcoming IETF standard for low latency media delivery. One very interesting part is the addition of relays that are protocol aware and can assist in negotiations of things like stream quality to optimize the user experience.

In Radio Access Networks, we have knowledge about current radio conditions and load in the radio network. We can also with some accuracy predict those a few seconds into the future.

  • Can we combine the knowledge in RAN with the capabilities in a moq-relay to optimize user experience?
  • Can this also be used for AR/XR use case where we can expect a need to have bi-directional media delivery?

The master thesis work should explore the possibilities in this area, preferably by prototyping a moq-relay that can take input from RAN knowledge. A possible starting point is to connect it to the already existing flow control information in CU-UP and use moq-relay capabilities instead of AQM to adapt the traffic to the radio conditions.

The thesis will be concluded with a result presentation for the Ericsson team.


This project aims at students in electrical engineering, computer science, computer engineering or similar.


1-2 students, 30hp each


Ericsson AB Mjärdevi, Linköping

Preferred Starting Date

Spring 2024


C++, Mobile Telecommunication, Optimization.

Contact Persons

Camilla Bodin                                                                                                                Johnny Blid

+46 724 66 67 56                                                                                                         +46 761 49 70 72