Comparison of Various Algorithms for Side Lobe Level Reduction in 5G Antenna Arrays

5G antenna arrays are being designed to generate dedicated stream of data to every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding Internet access, the beam can be steered in that direction. Meanwhile, the occurrence of side lobes in such systems can be menacing. There are several algorithms that can be implemented to reduce side lobes. A comparison of three such algorithms—pattern search, simulated annealing and genetic algorithm—is made and the one which has the best side lobe level reduction is implemented. An 80-element uniform linear array is considered. MATLAB R2018b optimization toolbox has been used for simulation.