Optimization of Base Station Power Supply Selection by Quantum Annealing

In this poster, we use quantum annealing to solve the optimal operation for a photovoltaic-powered 5G base station, and discuss its usefulness and quality. The formulated QUBO for quantum annealing works on D-Wave quantum machine, and the results showed that quantum annealing can produce 100 times faster and better quality solutions in comparison with Simulated Annealing(SA). Scaling experiments showed that quantum annealing is more likely to produce good solutions with decision variables of around 50~100, and splitting the problem gave better results than SA in various scaling.