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One of the main purposes of discrete event simulators such as OMNeT++ is totest new algorithms or protocols in realistic environments. These often need tobe benchmarked against optimal/theoretical results obtained by runningcommercial optimization solvers. The usual way to do this is to have thesimulator run in a standalone mode and generate (few) snapshots, which are thenfed to the optimization solvers. This allows one to compare the optimal andsuboptimal solutions in the snapshots, but does not allow to assess how thesystem being studied would evolve over time if the optimal solution wasenforced every time. This requires optimization software to run directly in theloop of the simulation, exchanging information with the latter. The goal ofthis tutorial is to show how to integrate a commercial solver (CPLEX) into thesimulation loop of the OMNeT++ environment. For this purpose, we propose twomethods: a first one that uses a solver as an external program, and a secondone that exploits a C-written API for CPLEX known as Callable Library. We thenexemplify how to apply these two methods to SimuLTE, a simulation model for LTEcellular networks, implementing and testing a simple solution to a well-knownresource-scheduling problem.

Optimization in the Loop: Implementing and Testing Scheduling Algorithms with SimuLTE