5G mobile communication;convex programming;interference suppression;iterative methods;least mean squares methods;millimetre wave communication;millimetre wave propagation;MIMO communication;precoding;radio spectrum management;resource allocation;satellite communication;energy assumption;logarithmic linearization method;MMSE;massive MIMO;terrestrial link;interference mitigation algorithm;iterative power allocation;intrasystem interference;digital separated hybrid precoding algorithm;Minimum Mean Square Error norm;convex power allocation problem;maximum power constraints;terrestrial system;model sum rate maximization problem;hybrid analog-digital precoding scheme;frequency efficiency;shared millimeter-wave link;5GSIN;intersystem interference;satellite communication;spectral efficiency;massive multiple-input multiple-output;5G-Satellite Integrated Network;Interference;Precoding;Satellite broadcasting;Resource management;Satellites;Radio frequency;Hybrid power systems;5G-Satellite Integrated Network;millimeter-wave;Hybrid Precoding;Power Allocation
[en] Integrating massive multiple-input multiple-output (MIMO) into satellite network is regarded as an effective strategy to improve the spectral efficiency as well as the coverage of satellite communication. However, the inevitable intra-system and inter-system interference deteriorate the total performance of system. In this paper, we consider precoding in the 5G Satellite Integrated Network (5GSIN) with the deployment of Massive MIMO and propagation of shared millimeter-wave (mmWave) link. Taking the requirements of both frequency efficiency and energy assumption into account, a hybrid analog and digital pre-coding scheme in the specific scenario of 5GSIN is proposed. We model sum rate maximization problem for both of satellite and terrestrial system that incorporates maximum power constrains and minimum achievable rate requirements and formulate to a convex power allocation problem with Minimum Mean Square Error (MMSE) norm and Logarithmic Linearization method. In order to balance between performance and complexity, we propose an analog and digital separated hybrid precoding algorithm to mitigate intra-system interference. Moreover, an iterative power allocation with interference mitigation algorithm is also devised to mitigate interference from satellite to terrestrial link so that power allocation can be executed by generalized iterative algorithm. Simulation results show that our proposed hybrid precoding algorithm in 5GSIN can improve the overall spectral efficiency with a small amount of iterations.
Main work title :
2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications, title=Hybrid Analog-Digital Precoding for mmWave Coexisting in 5G-Satellite Integrated Network