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Joint User Scheduling and Multi-Domain Resource Allocation for Terrestrial and Non-Terrestrial Networks Integration
Journal article   Peer reviewed

Joint User Scheduling and Multi-Domain Resource Allocation for Terrestrial and Non-Terrestrial Networks Integration

Yingdong Hu, Ye Li, Jue Wang, Yicheng Xu, Ruifeng Gao, Sheng Wu and Tony Q. S. Quek
IEEE transactions on wireless communications, Vol.25, pp.9906-9922
2026

Abstract

genetic algorithm Genetic algorithms Interference Logic gates OFDM Quality of service Radio spectrum management resource allocation Resource management Satellite broadcasting Satellites Terrestrial and non-terrestrial networks integration Time-frequency analysis user scheduling
Efficient resource utilization is vital for terrestrial and non-terrestrial networks (TN-NTN) integration. However, different spatio-temporal resource scales in TN and NTN networks pose challenges for joint resource allocation. To tackle this problem, we propose a joint user scheduling and multi-domain resource allocation scheme in the downlink network, to improve coverage for ground users (GUs). Specifically, the scheme is designed in two time-scales, including large-scale satellite beam-hopping (i.e., spatial resource allocation) and small-scale time-frequency resource allocation. For beam-hopping, we first analyze the coverage of terrestrial base stations (TBS) for GUs, and accordingly propose a joint design of user scheduling and beam-hopping. For time-frequency resource allocation, to cope with the complexity induced by multi-domain and multi-scale resources, we propose a two-step approach which first obtains a preliminary allocation with worst-case co-frequency interference assumption, then employs the genetic algorithm to re-allocate redundant resources, thereby increasing the proportion of successfully served GUs. We evaluate the performance of the proposed scheme through simulations with different user demands and network service settings. Results show that the proposed scheme provides considerable improvement over existing schemes, which can efficiently reduce co-frequency interference and provide service for more GUs.

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