Abstract
Multibeam low earth orbit (LEO) millimeter wave (mmWave) band high throughput satellite (HTS) is regarded as a key component in the upcoming satellite-based Internet of Things (S-IoT). The multibeam LEO HTS with non-orthogonal multiple access (NOMA) can support global coverage and low latency broadband access over a wide geographical area in a cost-efficient manner. However, the performance is constrained by the channel state information and subsequent beam selection in multibeam LEO HTS. We design a joint channel estimation and beam selection NOMA system for S-IoT in this paper, including the pseudo random ergodic (PRE)-throughput maximum (TM) scheme for massive multiple access, and the asynchronous CSI-assisted (AIA)-TM scheme for high throughput services. Moreover, we propose the PRE-fairness guaranteed (FG) and AIA-FG schemes for achieving better fairness with slightly loss of throughput. Simulation results show that the PRE-TM and AIA-TM schemes can adaptively reduce the required channel measurements, while approaching the optimal system throughput performance of the exhaust searching (ES) scheme with a much lower computational complexity.
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Acknowledgements
This work was supported in part by National Natural Sciences Foundation of China (Grant Nos. 62071141, 61871147, 61831008, 62027802), Shenzhen Basic Research Program (Grant No. GXWD20201230155427003-20200822-165138001), Natural Science Foundation of Guangdong Province (Grant No. 2020A1515010505), Guangdong Science and Technology Planning Project (Grant No. 2018B030322004), and the project “The Verification Platform of Multi-tier Coverage Communication Network for Oceans” (Grant No. LZC0020).
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Chen, Z., Jiao, J., Wu, S. et al. Joint channel estimation and beam selection NOMA system for satellite-based Internet of Things. Sci. China Inf. Sci. 65, 202301 (2022). https://doi.org/10.1007/s11432-021-3320-8
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DOI: https://doi.org/10.1007/s11432-021-3320-8