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: "beam based stochastic model of the coverage probability in 5g millimeter wave systems"
  Abstract: Communications using frequency bands in the millimeter-wave range can play a key role in future generations of mobile networks. By allowing large bandwidth allocations, high carrier frequencies will provide high data rates to support the ever-growing capacity demand. The prevailing challenge at high frequencies is the mitigation of large path loss and link blockage effects. Highly directional beams are expected to overcome this challenge. In this paper, we propose a stochastic model for characterizing beam coverage probability. The model takes into account both line-of-sight and first-order non-line-of-sight reflections. We model the scattering environment as a stochastic process and we derive an analytical expression of the coverage probability for any given beam. The results derived are validated numerically and compared with simulations to assess the accuracy of the model.

Connected through hyperedge HE-1 (induced by source paper "on the benefits of network level cooperation in millimeter wave communications"):
  with members:
    - "network level cooperation in random access iot networks with aggregators"
    - "maximum throughput scheduling for multi connectivity in millimeter wave networks"
    - "throughput analysis for relay assisted millimeter wave wireless networks"
    - "full duplex millimeter wave communication"
    - "overview of millimeter wave communications for fifth generation 5g wireless networks with a focus on propagation models"
    - "distributed association and relaying with fairness in millimeter wave networks"
    - "on the relay fallback tradeoff in millimeter wave wireless system"
    - "initial access in 5g mmwave cellular networks"

Connected through hyperedge HE-2 (induced by source paper "the connectivity of millimeter wave networks in urban environments modeled using random lattices"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "connectivity scaling laws in wireless networks"
    - "path loss shadow fading and line of sight probability models for 5g urban macro cellular scenarios"
    - "how does mobility affect the connectivity of interference limited ad hoc networks"
    - "an overview of load balancing in hetnets old myths and open problems"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "what will 5g be"

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)