human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "towards 6g networks use cases and technologies"
  Abstract: As the digital world becomes increasingly intelligent, automated and ubiquitous, the flow of data becomes ever more vital. Mobile wireless networks are the data highways, and in a fully connected, intelligent digital world, they will need to connect everything from people, vehicles, sensors, data, cloud resources and even robotic agents. Fifth generation (5G) wireless networks that are being released soon offer significant advances, but may be unable to meet the full connectivity demands of emerging systems. This paper envisions how 6G systems can be developed to address the needs of smart networks of the future. The article considers several potential 6G use cases and attempts to provide estimates on requirements to guide design. The demands are daunting, but several promising technologies that can provide the basis for 6G systems are also surveyed.

Connected through hyperedge HE-1 (induced by source paper "from a human centric perspective what might 6g be"):
  with members:
    - "capacity and coverage enhancement using long endurance tethered airborne base stations"
    - "enabling smart buildings by indoor visible light communications and machine learning"
    - "a key 6g challenge and opportunity connecting the remaining 4 billions a survey on rural connectivity"
    - "6g the next frontier"
    - "evolution of physical layer communications research in the post 5g era"
    - "ultrareliable and low latency communication techniques for tactile internet services"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "six key enablers for machine type communication in 6g"

Connected through hyperedge HE-2 (induced by source paper "6g wireless communication systems applications requirements technologies challenges and research directions"):
  with members:
    - "blockchain for internet of things a survey"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "on the effect of temporal correlation on joint success probability and distribution of number of interferers in mobile uav networks"
    - "six key enablers for machine type communication in 6g"
    - "integrated rf optical wireless networks for improving qos in indoor and transportation applications"
    - "a speculative study on 6g"
    - "6g the wireless communications network for collaborative and ai applications"

Connected through hyperedge HE-3 (induced by source paper "data driven network simulation for performance analysis of anticipatory vehicular communication systems"):
  with members:
    - "empirical analysis of client based network quality prediction in vehicular multi mno networks"
    - "system of systems modeling analysis and optimization of hybrid vehicular traffic"
    - "heterogeneous v2v communications in multi link and multi rat vehicular networks"
    - "boosting vehicle to cloud communication by machine learning enabled context prediction"
    - "toward intelligent vehicular networks a machine learning framework"
    - "machine learning based context predictive car to cloud communication using multi layer connectivity maps for upcoming 5g networks"
    - "deep learning in physical layer communications"
    - "end to end learning of communications systems without a channel model"

Connected through hyperedge HE-4 (induced by source paper "non terrestrial communication in the 6g era challenges and opportunities"):
  with members:
    - "integrated access and backhaul in 5g mmwave networks potentials and challenges"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "optical communication in space challenges and mitigation techniques"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.NI(Networking and Internet Architecture)