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: "vehicular communications for 5g cooperative small cell networks"
  Abstract: The cooperative transmission is an effective approach for vehicular communications to improve the wireless transmission capacity and reliability in the fifth generation (5G) small cell networks. Based on distances between the vehicle and cooperative small cell BSs, the cooperative probability and the coverage probability have been derived for 5G cooperative small cell networks where small cell base stations (BSs) follow Poisson point process distributions. Furthermore, the vehicular handoff rate and the vehicular overhead ratio have been proposed to evaluate the vehicular mobility performance in 5G cooperative small cell networks. To balance the vehicular communication capacity and the vehicular handoff ratio, an optimal vehicular overhead ratio can be achieved by adjusting the cooperative threshold of 5G cooperative small cell networks.

Connected through hyperedge HE-1 (induced by source paper "ultra reliable low latency communications in autonomous vehicular networks"):
  with members:
    - "joint optimization of computation and communication power in multi user massive mimo systems"
    - "coverage and handoff analysis of 5g fractal small cell networks"
    - "5g software defined vehicular networks"
    - "software defined space air ground integrated vehicular networks challenges and solutions"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "dense small cell networks from noise limited to dense interference limited"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "from network sharing to multi tenancy the 5g network slice broker"

Connected through hyperedge HE-2 (induced by source paper "coverage and handoff analysis of 5g fractal small cell networks"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "a novel millimeter wave channel simulator and applications for 5g wireless communications"
    - "analysis of human body blockage in urban millimeter wave cellular communications"
    - "a dual directional path loss model in 5g wireless fractal small cell networks"
    - "energy efficiency optimization of 5g radio frequency chain systems"
    - "wireless fractal cellular networks"
    - "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks"
    - "joint millimeter wave and microwave resources allocation in cellular networks with dual mode base stations"

Connected through hyperedge HE-3 (induced by source paper "vehicles to pedestrians signal transmissions based on cloud computing"):
  with members:
    - "5g software defined vehicular networks"
    - "spatial spectrum and energy efficiency of random cellular networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "5g ultra dense cellular networks"
    - "5g wireless backhaul networks challenges and research advances"
    - "capacity analysis of a multi cell multi antenna cooperative cellular network with co channel interference"

Connected through hyperedge HE-4 (induced by source paper "uplinks analysis and optimization of hybrid vehicular networks"):
  with members:
    - "5g software defined vehicular networks"
    - "multi hop links quality analysis of 5g enabled vehicular networks"
    - "a survey of motion planning and control techniques for self driving urban vehicles"
    - "5g ultra dense cellular networks"
    - "energy efficiency evaluation of cellular networks based on spatial distributions of traffic load and power consumption"

Connected through hyperedge HE-5 (induced by source paper "vehicle communication using secrecy capacity"):
  with members:
    - "improving physical layer security in wireless communications using diversity techniques"

Connected through hyperedge HE-6 (induced by source paper "multi hop links quality analysis of 5g enabled vehicular networks"):
  with members:
    - "5g software defined vehicular networks"
    - "spatial spectrum and energy efficiency of random cellular networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "5g ultra dense cellular networks"
    - "delay optimal data forwarding in vehicular sensor networks"

Connected through hyperedge HE-7 (induced by source paper "downlink small cell base station cooperation strategy in fractal small cell networks"):
  with members:
    - "wireless fractal cellular networks"
    - "user mobility evaluation for 5g small cell networks based on individual mobility model"
    - "5g ultra dense cellular networks"
    - "spectrum and energy efficiency evaluation of two tier femtocell networks with partially open channels"
    - "analysis of blockage effects on urban cellular networks"

Connected through hyperedge HE-8 (induced by source paper "multi path cooperative communications networks for augmented and virtual reality transmission"):
  with members:
    - "spatial spectrum and energy efficiency of random cellular networks"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "massive mimo for next generation wireless systems"

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)