Satellite Internet User Access Control

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    Space-Integrated-Ground Information Networks    2022, 3 (4): 1-1.   DOI: 10.11959/j.issn.2096-8930.2022038-1
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    Low Orbit Satellite Internet of Things Transmission Technology Based on LoRa
    Zehao LI, Jianpeng MA, Shun ZHANG, Xiao WEI, Jing ZHANG
    Space-Integrated-Ground Information Networks    2022, 3 (4): 2-11.   DOI: 10.11959/j.issn.2096-8930.2022038
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    As an emerging wide area network technology, LoRa has the characteristics of low power consumption and wide coverage.It has very broad prospects in the field of internet of things applications.In recent years, it has been deployed in countless objects around the world.The advantages of wide coverage of low-orbit satellite networks make it an inevitable technology to achieve global coverage of massive internet of things.Firstly, the basic principles of LoRa technology were expounded.Then the problems existed after the LoRa technology was directly introduced into the low-orbit satellite IoT were analyzed.Finally, a set of LoRa transmission technology suitable for low-orbit satellite IoT was proposed, focused on solved the problem of LoRa frame synchronization under the condition of low-orbit long-distance low-power transmission, and the problem of LoRa demodulation caused by the high-speed movement of satellites due to the Doppler frequency off set.The simulation results showed that the proposed joint synchronization and frequency off set estimation algorithm could obviously improved the synchronization probability and transmission reliability of LoRa technology under the conditions of extremely low SNR and large Doppler frequency shift.

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    Resource Allocation of Multi-Satellite Beam Hopping Technology Based on System Capacity Maximization
    Qing SHU, Xiaoning ZHANG, Zesong FEI
    Space-Integrated-Ground Information Networks    2022, 3 (4): 12-21.   DOI: 10.11959/j.issn.2096-8930.2022039
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    Unlike medium and high earth orbit satellites, LEO satellites have the characteristics of small path loss, low propagation delay and high deployment fl exibility.LEO satellites are widely used in real time services, global internet of things, emergency communication and other fi elds.In order to solved the problems of large diff erences in service demand distribution of terrestrial users and low resource utilization in LEO satellite communication systems, a resource allocation algorithm of LEO multi-satellite beam hopping technology based on convex optimization was proposed, which aimed to maximized the system capacity.For multisatellite beam hopping scenarios in LEO satellite communication system, the beam-hopping technology could fl exibly allocated system resources accorded to user needs.Considered the factor of co-channel interference, the service region division scheme based on load balancing and the inter-satellite resource allocation priority scheme was proposed.In order to improved system capacity and resource utilization, it jointly designed a time and power resource allocation algorithm based on convex optimization.The simulation results showed that the proposed scheme could eff ectively reduced co-channel interference and realized the ondemand allocation of system capacity without causing waste of resources.

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    Beamforming Technology of LEO Satellite in Satellite-Terrestrial Integrated Network
    Zhiyong LUO, Ning XIN, Shaohui SUN
    Space-Integrated-Ground Information Networks    2022, 3 (4): 22-30.   DOI: 10.11959/j.issn.2096-8930.2022040
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    Because of the difference between satellite-ground link and ground propagation loss characteristics, the spectrum effi ciency index of satellite communication system is far lower than that of terrestrial cellular system in the same period.It is of utility to improve spectral effi ciency by realizing effi cient space division multiplexing with multi-beam antennas.The adaptive beamforming and doppler frequency off set compensation scheme in the LEO multi-beam satellite communication scenario was studied.Firstly, a low-complexity hybrid beamforming scheme was designed.Then, aim at the doppler frequency shifts were diff erent between beams due to their pitch angles, a doppler frequency off set pre-compensation scheme for multi-beam systems was proposed.Finally, the eff ectiveness of the algorithm was verifi ed by MATLAB simulation analysis.

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    Design and Implementation of Intelligent Anti-Interference for Data Link
    Zhen WU, Jingyu YANG, Shuo WANG, Zhenghuan WANG, Min JIA
    Space-Integrated-Ground Information Networks    2022, 3 (4): 31-44.   DOI: 10.11959/j.issn.2096-8930.2022041
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    The application scenarios and problems faced by data link communication on hypersonic unmanned aerial vehicles were introduced, and the mainstream jamming style categories, development trends and anti-jamming methods in current data link communication were listed.The design and technical scheme of the intelligent anti-jamming engine was described in detail, and the design of the intelligent anti-jamming engine was discussed from four aspects: the overall scheme, the broadband spectrum perception module, the interference signal recognition module, and the anti-interference decision-making module.The technical approaches of the main key technologies were introduced, the performance of the adopted methods was simulated and tested.The results of the simulation tests were compared and analyzed, and the simulation tests could proved that the methods used could achieved the expected goals, but there were still certain limitations, and the actual engineering and practical eff ects need to be further verifi ed.

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    Resource Scheduling Algorithm Based on DQN in Satellite CDN
    Jiaran ZHANG, Yating YANG, Tian SONG
    Space-Integrated-Ground Information Networks    2022, 3 (4): 45-54.   DOI: 10.11959/j.issn.2096-8930.2022042
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    With the rapid development of space and information fi eld, hot content distribution intensive scenes will become one of the key directions of satellite network application, and satellite content delivery network (CDN) network is an important means to improve the effi ciency of air and space content distribution.In the architecture of satellite CDN network, due to the uneven time and space of business requirements, the scarcity of satellite resources and the insuffi cient adaptability of existing scheduling algorithms, scheduling algorithms for satellite resources are faced with problems such as high resource dimension, many computing states and large amount of computation, which will reduce the accuracy, response speed and computing performance of scheduling decisions.To solve this problem, a resource scheduling algorithm based on Deep Q-Learning (DQN) algorithm was proposed to improved the effi ciency and accuracy of satellite resource scheduling, and intelligently and quickly perceived the resource situation to make scheduling decisions.Firstly, the user requests were classifi ed, and the shortest path set that the satellite could communicated with was calculated according to the time-varying trajectory of the satellite and the resources of the satellite and the ground.After that, the related information of satellites and users was quantifi ed by Markov model modeling, and the optimal CDN storage node of satellites was calculated by DQN algorithm, which achieved the eff ects of reduced user request delay, reduced satellite-ground resource occupancy rate and improved cache hit rate.

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    Review of Slice Resource Management Technology in Space-Integrated-Ground Access Network
    Ning HUI, Qian SUN, Yuanyuan WANG, Zongshuai ZHANG, Lin TIAN, Jing ZHANG, Xiao WEI
    Space-Integrated-Ground Information Networks    2022, 3 (4): 55-64.   DOI: 10.11959/j.issn.2096-8930.2022043
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    With the explosive growth of diff erentiated services, it is urgent to manage wireless spectrum and computing resources on demand dynamically in the sliced access network (RAN) of the space-integrated-ground network.Resulting from that, refi ned and guaranteed qualities of services are achieved.Thus, it is necessary to study the dynamic management of spectrum and computing resources in the sliced RAN of space-air-ground integrated networks.The resource management technologies in sliced RAN of the space-integrated-ground were discussed.The current research status of resource management in the space-integratedground access network was summarized.The future demands of resource management in sliced RAN of the space-integratedground system were analyzed, included the high isolation of wireless spectrum resource, the collaboration of computing resources among space and ground parts, and the real-time heterogeneous resource management in complex sliced RAN of space-air-ground integrated networks.The corresponding key technologies of the three demands were provided.

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Competent Unit: Ministry of Industry and Information Technology of the People's Republic of China
Sponsor: Posts & Telecom Press Co., Ltd.
Guiding Unit: China Satellite Network Group Co., Ltd.
Publisher: China InfoCom Media Group
Editor-in-Chief: LU Jun Executive
Editor-in-Chief: WU Wei
Associate Editor-in-Chief: WANG Chunting, LI Jianming, LYU Ziping,ZHU Decheng, SUN Qibin,
LIU Hualu
Director of Editorial Department: NIU Xiaomin
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