IPbased Space Air Ground Information Network for Air Traffic Control Communication Communication Navigation and Surveillance (CNS) are the three main components of air traffic management (ATC). The long due transformation of air traffic surveillance from old technology to modern technology is about to accomplish by the deployment of satellitebased ADS B (Automatic Dependent SurveillanceBroadcast) technology. This will extend current airspace coverage from limited continental regions (30%) to a global (100%) coverage. However, communication, being the other critical component of air traffic control is still far behind such a major modernization as well as not ready to accompany this global nature of future air traffic. In our recent work, we have elaborated the limitations of space basedADSB system and proposed an alternate better solution in the form of IPbased Space Air Ground Information Network (SAGIN). This paper highlights the limitations and challenges of existing technologies of air traffic communication and issues of independent CNS. The work explained that the SAGIN could not only provide the required modernization of air traffic communication but at the same time, it can provide a reliable, unified and global platform for an integrated CNS for an efficient and global ATC.

Dynamic Traffic Detection and Modeling for Beidou Satellite Networks Beidou navigation system (BDS) has been developed as an integrated system. The third BDS, BSD3, will be capable of providing not only global positioning and navigation but also data communication. When the volume of data transmitted through BDS3 continues to increase, BDS3 will encounter network traffic congestion, unbalanced resource usage, or security attacks as terrestrial networks. The network traffic monitoring is essential for automatic management and safety assurance of BDS3. A dynamic traffic detection method including traffic prediction by Long ShortTerm Memory (LSTM) and a dynamically adjusting polling strategy is proposed to unevenly sample the traffic of each link. A distributed traffic detection architecture is designed for collection of the detected traffic and its related temporal and spatial information with low delay. A timevarying graph (TVG) model is introduced to represent the dynamic topology, the timevarying link, and its traffic. The BDS3 network is simulated by STK. The WIDE dataset is used to simulate the traffic between the satellite and ground station. Simulation results show that the dynamic traffic detection method can follow the variation of the traffic of each link with uneven sampling. The detected traffic can be transmitted to the ground station in near real time through the distributed traffic detection architecture. The traffic and its related information are stored by using Neo4j in terms of the TVG model. The nodes, edges, and traffic of BDS3 can be quickly queried through Neo4j. The presented dynamic traffic detection and representation schemes will support BDS3 to establish automatic management and security system and develop business.