Multilayer optimization of heterogeneous networks using grammatical genetic programming

Wireless communications networks are a global trillion dollar industry, where small improvements can scale to provide significant cost savings to networks operators. In a field full of NP-hard optimisation problems, heuristic optimisation techniques such as Evolutionary Computation offer a means to provide bespoke, scalable solutions. Grammatical Genetic Programming is applied to optimise three aspects of an LTE Heterogeneous Network: setting optimal Small Cell powers and biases, Macro Cell ABS patterns, and Small Cell scheduling. The evolved heuristics yield minimum downlink rates three times greater than a baseline technique, and twice that of a state-of-the-art industry standard benchmark. This work appears in full in Fenton et al., "Multilayer Optimization of Heterogeneous Networks using Grammatical Genetic Programming", IEEE Transactions on Cybernetics, 2017. DOI: 10.1109/TCYB.2017.2688280.