학술논문

Multidimensional Direct Fractional Programming based Multicast Beamforming Design in Space-Ground Integration Networks
Document Type
Conference
Source
2022 14th International Conference on Wireless Communications and Signal Processing (WCSP) Wireless Communications and Signal Processing (WCSP), 2022 14th International Conference on. :883-887 Nov, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Wireless communication
Multicast algorithms
Satellites
Array signal processing
Processor scheduling
Simulation
System performance
space-ground integration network
multi-beam technique
multidimensional direct fractional programming
Language
Abstract
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.