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: "coverage and connectivity analysis of millimeter wave vehicular networks"
  Abstract: The next generations of vehicles will require data transmission rates in the order of terabytes per driving hour, to support advanced automotive services. This unprecedented amount of data to be exchanged goes beyond the capabilities of existing communication technologies for vehicular communication and calls for new solutions. A possible answer to this growing demand for ultra-high transmission speeds can be found in the millimeter-wave (mmWave) bands which, however, are subject to high signal attenuation and challenging propagation characteristics. In particular, mmWave links are typically directional, to benefit from the resulting beamforming gain, and require precise alignment of the transmitter and the receiver beams, an operation which may increase the latency of the communication and lead to deafness due to beam misalignment. In this paper, we propose a stochastic model for characterizing the beam coverage and connectivity probability in mmWave automotive networks. The purpose is to exemplify some of the complex and interesting tradeoffs that have to be considered when designing solutions for vehicular scenarios based on mmWave links. The results show that the performance of the automotive nodes in highly mobile mmWave systems strictly depends on the specific environment in which the vehicles are deployed, and must account for several automotive-specific features such as the nodes speed, the beam alignment periodicity, the base stations density and the antenna geometry.

Connected through hyperedge HE-1 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "underlay drone cell for temporary events impact of drone height and aerial channel environments"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "a stochastic model for uav networks positioned above demand hotspots in urban environments"
    - "modeling and analyzing millimeter wave cellular systems"
    - "massive mimo for communications with drone swarms"
    - "backhaul for low altitude uavs in urban environments"

Connected through hyperedge HE-2 (induced by source paper "lte and millimeter waves for v2i communications an end to end performance comparison"):
  with members:
    - "end to end simulation of 5g mmwave networks"
    - "performance study of lte and mmwave in vehicle to network communications"
    - "millimeter wave interference avoidance via building aware associations"
    - "modeling and design of millimeter wave networks for highway vehicular communication"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-3 (induced by source paper "stochastic geometric coverage analysis in mmwave cellular networks with realistic channel and antenna radiation models"):
  with members:
    - "study of realistic antenna patterns in 5g mmwave cellular scenarios"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "millimeter wave interference avoidance via building aware associations"
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "stochastic geometric coverage analysis in mmwave cellular networks with a realistic channel model"
    - "correction factor for analysis of mimo wireless networks with highly directional beamforming"
    - "revisiting frequency reuse towards supporting ultra reliable ubiquitous rate communication"

Connected through hyperedge HE-4 (induced by source paper "on the feasibility of integrating mmwave and ieee 802 11p for v2v communications"):
  with members:
    - "performance study of lte and mmwave in vehicle to network communications"
    - "millimeter wave v2v communications distributed association and beam alignment"
    - "modeling and design of millimeter wave networks for highway vehicular communication"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "towards an appropriate receiver beamforming scheme for millimeter wave communication a power consumption based comparison"
    - "modeling the evolution of line of sight blockage for v2v channels"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-5 (induced by source paper "performance study of lte and mmwave in vehicle to network communications"):
  with members:
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "physical layer security in millimeter wave cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "millimeter wave channel modeling and cellular capacity evaluation"

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)