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: "self sustaining caching stations toward cost effective 5g enabled vehicular networks"
  Abstract: In this article, we investigate cost-effective 5G-enabled vehicular networks to support emerging vehicular applications, such as autonomous driving, in-car infotainment and location-based road services. To this end, self-sustaining caching stations (SCSs) are introduced to liberate on-road base stations from the constraints of power lines and wired backhauls. Specifically, the cache-enabled SCSs are powered by renewable energy and connected to core networks through wireless backhauls, which can realize "drop-and-play" deployment, green operation, and low-latency services. With SCSs integrated, a 5G-enabled heterogeneous vehicular networking architecture is further proposed, where SCSs are deployed along the roadside for traffic offloading while conventional MBSs provide ubiquitous coverage to vehicles. In addition, a hierarchical network management framework is designed to deal with high dynamics in vehicular traffic and renewable energy, where content caching, energy management and traffic steering are jointly investigated to optimize the service capability of SCSs with balanced power demand and supply in different time scales. Case studies are provided to illustrate SCS deployment and operation designs, and some open research issues are also discussed.

Connected through hyperedge HE-1 (induced by source paper "hierarchical soft slicing to meet multi dimensional qos demand in cache enabled vehicular networks"):
  with members:
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "on the application of network slicing for 5g v2x"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"

Connected through hyperedge HE-2 (induced by source paper "air ground integrated vehicular network slicing with content pushing and caching"):
  with members:
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "cost effective cache deployment in mobile heterogeneous networks"
    - "software defined space air ground integrated vehicular networks challenges and solutions"
    - "policy optimization for content push via energy harvesting small cells in heterogeneous networks"
    - "designing and implementing future aerial communication networks"
    - "mobility aware caching for content centric wireless networks modeling and methodology"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"

Connected through hyperedge HE-3 (induced by source paper "caching with time domain buffer sharing"):
  with members:
    - "wireless device to device caching networks basic principles and system performance"
    - "big data caching for networking moving from cloud to edge"
    - "optimal storage allocation for wireless cloud caching systems with a limited sum storage capacity"
    - "a utility optimization approach to network cache design"
    - "improved approximation of storage rate tradeoff for caching with multiple demands"
    - "coded caching for multi level popularity and access"
    - "online coded caching"
    - "coded caching with nonuniform demands"

Connected through hyperedge HE-4 (induced by source paper "dynamic edge caching with popularity drifting"):
  with members:
    - "optimal geographic caching in cellular networks"
    - "fundamental limits of caching in wireless d2d networks"
    - "online coded caching"
    - "fundamental limits of caching"
    - "index coding via linear programming"

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)