Modern energy systems and multi-agent systems (MAS) are increasingly dependent on robust and efficient communication networks to enable distributed decision-making and coordination. Wireless communication technologies such as LTE provide a basis for this, but there is often a lack of simulation models to analyze and simulate the networks for specific applications in energy systems or the coordination of autonomous agents.

The aim of this work is to develop an analytical simulator that models wireless communication networks and their effects on applications in multi-agent systems and energy systems. 
The simulator should take into account both communication parameters (e.g. latency, throughput) and system-related factors (e.g. utilization) and, with its integration into the agent framework mango (https://mango-agents.readthedocs.io/en/latest/), provide a flexible environment for simulating various application scenarios.

- Requirements analysis: Analysis and definition of the requirements for the simulator for the multi-agent and energy systems.
- Research on related work and theoretical foundations
- Modeling: Development of a model for LTE or a comparable wireless communication network with a focus on the parameters relevant for the application in MAS and energy systems.
- Implementation: Implementation of the simulation model in the MAS framework mango (optionally in Python or julia). 
- Validation in an application example: Simulation of an exemplary application scenario and validation of the results, e.g. with data from other simulation models or literature values.

- Personal initiative 
- Ideally prior knowledge in one or more of the following areas: 
   - (wireless) communication network technologies (for energy systems)
   - Programming in Python or julia
   - Simulation and modeling, preferably in the context of communication and energy systems
   - Multi-agent systems (in energy systems)