Genetically-Optimized Electromagnetic Bandgap Structures for Efficient 5G Implementations

In this paper, we employ a systematic and accurate genetic optimization methodology, which incorporates a fast finite-element solver, in order to derive prototype electromagnetic bandgap structures with the maximum possible bandgap or multiple bandgap operational regions. All simulation results are, also, extracted by means of a commercial computational package, verifying thus the advantages of the technique. Finally, a realistic case as part of a 5G telecommunications scenario is examined, where one of the prototype geometries, so developed, is set as ground plane of a printed λ/2 dipole antenna.