  The wireless mobile communication system is updated and iterated on the whole
almost every decade. It is now in the development period of the application
scenarios of the fifth generation mobile communication system (5G).
Unfortunately, 5G relies on plenty of small base stations with a large number
of antennas that consume a lot of energy. In this paper, a novel Boolean
variable quadratic programming algorithm is designed for the antenna selection
optimization problem to reduce power consumption. Experiments show that the
proposed algorithm achieves high complementarity satisfaction accuracy with
only a few steps.
