Use of Genetic Algorithm in the Optimisation of the LTE Deployment
The purpose of this paper is to evaluate LTE deployment and to optimize RF parameters that include sub-channel power, antenna down tilt, azimuth and beam-width. An integer optimizing based on genetic programming is developed by evaluating the signal-to-interference plus noise ratio. The simulation uses a static model based on an OFDMA module designed for a Long Term Evolution (LTE) network from 3GPP [TR36.942]. The site location and initial antenna parameters are taken from real GSM network already optimized for coverage.