  Antenna selection in Massive MIMO (Multiple Input Multiple Output)
communication systems enables reduction of complexity, cost and power while
keeping the channel capacity high and retaining the diversity, interference
reduction, spatial multiplexity and array gains of Massive MIMO. We investigate
the possibility of decentralised antenna selection both to parallelise the
optimisation process and put the environment awareness to use. Results of
experiments with two different power control rules and varying number of users
show that a simple and computationally inexpensive algorithm can be used in
real time. The algorithm we propose draws its foundations from
self-organisation, environment awareness and randomness.
