Abstract
Continuously increasing demands from enhanced mobile broadband, machine-to-machine and internet of things pose a growing threat to 5G communication. Satellites integrated with 5G and beyond are pivotal to achieve global coverage, reliable and continuing service access, with the booming low-orbit satellite (LEO) constellations. While previous works largely focus on rural or remote areas, the orbiting satellites cover the ground evenly. This paper is then interested in unserved or underserved users in urban hotspots arising from large-scale access. Under the large delay of the ground-to-satellite link and the dynamic characteristic of satellites, we propose a satellite-terrestrial cooperative, geographical dispersed and regional centralized batch access control scheme. A data-driven QoS indicator, responsivity, is proposed to complement the semi-online batch scheme from a network perspective. It combines subsiding access control from LEO satellite to ground with LEO satellite resources to provide auxiliary access for higher responsivity users relatively. We model the on-demand batch access mechanism as a multidimensional knapsack problem (MKP) solved by a hybrid genetic algorithm. Collectively, the cooperative batch mechanisms compress signaling transmission and reduce optional power consumption. Simulation results show that the new indicator achieves a better balance between spectral efficiency and global OoS compared to existing methods.
Original language | English |
---|---|
Pages (from-to) | 3929-3934 |
Number of pages | 6 |
Journal | Proceedings - IEEE Global Communications Conference, GLOBECOM |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Virtual, Online, Brazil Duration: 4 Dec 2022 → 8 Dec 2022 |
Keywords
- LEO satellite
- MKP
- Satellite-terrestrial
- hybrid genetic algorithm
- large-scale access
- on-demand access
- uncertainty analysis