Horoscopes for Factories:
Sensitivity Analysis of Predicting Wireless Channel in an Indoor Factory Floor
Problem Statement:
How useful will AI be in scheduling communication within an indoor factory environment? Base stations in a cellular network must schedule communication resources depending on the traffic in the network and wireless channel variations. Since processes in a factory are scheduled to happen in a periodic pattern, AI may be useful in predicting the variations in the wireless channel. Before developing an AI algorithm to predict the channel variation, it is important to gauge its usefulness. In this research, the researcher will analyse the sensitivity of prediction error, mobility, scalability and possibly other parameters on the usefulness of wireless channel prediction.
Task:
The student will be given access to Quadriga – a stochastic channel response generator. He/she is expected to simulate scenarios depicting a realistic factory floor and perform a sensitivity study of the influence of chosen parameters.
Work:
30% Theory, 50% Simulations, 20%Writing
Contact:
Sabari Nathan Anbalagan (s.n.anbalagan@utwente.nl)