Call for papers

2021 China Communications  
Ubiquitous coverage is one of the most important goals for mobile communication networks. To achieve this, integration of space, air, and ground networks is highly demanded, which expects to become the one of the enabling technologies for 6G networks. However, the integrated network faces the demand of orders of magnitude improvement in coverage, access capability and network service capability, which could not be achieved under the existing access and management mechanisms. To support this,
more » ... ificial intelligence (AI) can be applied to provide technical means for solving the problems of organization and management of the space-air-ground integrated network. By virtualizing and "softwarizing" the resources of the entire network, and provisioning intelligence in the core network elements of the integrated network, the space-air-ground integrated network will be able to form native intelligence. The native intelligence will facilitate a highly autonomous network, which has the capabilities of self-adaptive scale, self-allocation resource, self-learning behaviors and self-evolution function, and is expected to meet diversified, refined and differentiated service quality requirements in the future. The design of a native intelligent space-air-ground integrated network faces many challenges including but not limited to: space-air integrated network architecture, the evolution of network native intelligence, deployment of intelligent network elements in the control plane of the heterogeneous dynamic network, native intelligence based access control/mobile management/connection management, unified novel air interface, end-to-end virtualization technology, service-driven flexible slice customization, etc. The rapid development of various technologies, such as AI and SDN/NFV, big data, digital twins, cloud computing/edge computing/fog computing, has provided theoretical and technical support for solving the above problems. It has been proven that the eye-catching AI technologies, encompassing unsupervised learning, reinforcement learning, transfer learning, and federal learning, are able to enhance the overall performance of communication network systems. Furthermore, under the dual drive of "big data + digital twins", the corresponding and related design of AI architecture/algorithms/processes and information network architecture/algorithms/processes can constitute the basic technical system of the space-air-ground integrated network for future 6G. "China Communications" is planning to release the feature topic of " Space-Air-Ground Integrated Network with Native Intelligence (NI-SAGIN): Concept Architecture, Access and Networking " in the first issue of 2022. This topic focuses on the space-air-ground integrated architecture, the formation, evolution, deployment and implementation of network native intelligence, and AI-driven integrated network operation management, including access control/mobile management/connection management/slicing management,etc.1111111111111111111111111111111111111111 Papers describing algorithms, models, prototypes, implementations, tools, and paradigms are welcome. Survey papers or visionary articles indicating future directions from different perspectives are also encouraged. Extended versions of papers published in conferences, symposium, or workshop proceedings may also be submitted.111111111111111111111111111111111111111111111111111111111111111111111111111111111111111111
doi:10.23919/jcc.2021.9444254 fatcat:hix5wps67rdfpcg4wdkebalg4u