Motivation:
Scheduling is a key technology of nowadays packet data based communication systems since it combines efficient channel access with service requirements. While scheduling principles for high data rate services are well understood and meanwhile implemented in communications systems such as HSDPA and LTE/LTE-A, there is currently a strong need to design schedulers for delay constraint transmissions. Especially driven by Internet-of-Things applications and smart factory wireless communications such as Industry 4.0, future communication systems like 5G has to come up with novel scheduling concepts that take short packets and latency constraints into account.  

Objective:
The key objective of this thesis is to study 1) state-of-the art scheduling principles and 2) to work out scheduling approaches be suitable for future communications. In particular the thesis starts with a study on max/min, round robin and proportional fair scheduling for Internet-of Things and/or Industry 4.0 communications characterized by a massive connection of sensors/actors to a base station transmitting short packages with a low data rate. By leveraging the expertise gained, the next step is to take the need for short latency into account by researching delay constraint schedulers.

The work is part of a collaborative project with other German research institutes and the results being worked out are disseminated by reports and publications.

Requirements:
To successfully process the thesis, knowledge of Communication Technologies, Wireless Communications, math (optimization) and programming skills in Matlab are essential.