Multidimensional Direct Fractional Programming based Multicast Beamforming Design in Space-Ground Integration Networks

This paper studies the multicast beamforming opti-mization design problem for space-ground integration network (SGIN). Firstly, a centralized processor (CP) is deployed for performing user scheduling and multicast beamforming in SGIN. Then, the in-band interference induced rate distortion problem in SG IN is detailed. In order to tackle this problem, we propose a multidimensional direct fractional programming (MDFP) based beamforming design algorithm for both satellite and base stations (BSs) at the CP, where the corresponding sum rates are maximized by subjecting to the transmission power budget of satellite and ground BSs. Finally, simulation results are provided, showing that our proposed algorithm is capable of obtaining feasible solutions with multiple iterations.