This repo is cloned from this CodeOcean capsule, which contains the code for the following scientific paper:
Oskari Tervo, Le-Nam Tran, and Markku Juntti, "Optimal Energy-Efficient Transmit Beamforming for Multi-User MISO Downlink," IEEE Trans. Signal Process., vol. 63, no. 20, pp. 5574-5587, Oct. 2015.
The "main.m" script plots the convergence of Algorithms 1 and 3 in the paper. Note that, for Algorithm 1, we avail of the optimizer function in YALMIP that creates an object with a pre-compiled low-level numerical format which can be used to efficiently solve a series of the feasibility problem. Further information on this interesting functionality can be found here.