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: "throughput of infrastructure based cooperative vehicular networks"
  Abstract: In this paper, we provide the detailed analysis of the achievable throughput of infrastructure-based vehicular network with a finite traffic density under a cooperative communication strategy, which explores the combined use of vehicle-to-infrastructure (V2I) communications, vehicle-to-vehicle (V2V) communications, the mobility of vehicles, and cooperations among vehicles and infrastructure to facilitate the data transmission. A closed form expression of the achievable throughput is obtained, which reveals the relationship between the achievable throughput and its major performance-impacting parameters, such as distance between adjacent infrastructure points, the radio ranges of infrastructure and vehicles, the transmission rates of V2I and V2V communications, and vehicular density. Numerical and simulation results show that the proposed cooperative communication strategy significantly increases the throughput of vehicular networks, compared with its non-cooperative counterpart, even when the traffic density is low. Our results shed insight on the optimum deployment of vehicular network infrastructure and the optimum design of cooperative communication strategies in vehicular networks to maximize the throughput.

Connected through hyperedge HE-1 (induced by source paper "a mobility aware vehicular caching scheme in content centric networks model and optimization"):
  with members:
    - "building transmission backbone for highway vehicular networks framework and analysis"
    - "high reliability and low latency for vehicular networks challenges and solutions"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "throughput and energy efficiency analysis of small cell networks with multi antenna base stations"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"

Connected through hyperedge HE-2 (induced by source paper "multihop routing for data delivery in v2x networks"):
  with members:
    - "delay optimal data forwarding in vehicular sensor networks"

Connected through hyperedge HE-3 (induced by source paper "coverage and connectivity analysis of millimeter wave vehicular networks"):
  with members:
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "stochastic geometric coverage analysis in mmwave cellular networks with a realistic channel model"
    - "modeling and design of millimeter wave networks for highway vehicular communication"
    - "an efficient uplink multi connectivity scheme for 5g mmwave control plane applications"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "initial access in 5g mmwave cellular networks"
    - "multi connectivity in 5g mmwave cellular networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"

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)