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: "wireless network signals with moderately correlated shadowing still appear poisson"
  Abstract: We consider the point process of signal strengths emitted from transmitters in a wireless network and observed at a fixed position. In our model, transmitters are placed deterministically or randomly according to a hard core or Poisson point process and signals are subjected to power law path loss and random propagation effects that may be correlated between transmitters. #R##N#We provide bounds on the distance between the point process of signal strengths and a Poisson process with the same mean measure, assuming correlated log-normal shadowing. For "strong shadowing" and moderate correlations, we find that the signal strengths are close to a Poisson process, generalizing a recently shown analogous result for independent shadowing.

Connected through hyperedge HE-1 (induced by source paper "massive mimo forward link analysis for cellular networks"):
  with members:
    - "massive mimo has unlimited capacity"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "downlink performance of superimposed pilots in massive mimo systems"
    - "no downlink pilots are needed in tdd massive mimo"
    - "analyzing uplink sinr and rate in massive mimo systems using stochastic geometry"
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"

Connected through hyperedge HE-2 (induced by source paper "ergodic spectral efficiency in mimo cellular networks"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "scaling laws for ergodic spectral efficiency in mimo poisson networks"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "analytical tractability of hexagonal network model with random user location"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "an analytical framework for device to device communication in cellular networks"
    - "success probability and area spectral efficiency in multiuser mimo hetnets"

Connected through hyperedge HE-3 (induced by source paper "fine grained reliability for v2v communications around suburban and urban intersections"):
  with members:
    - "vehicle to vehicle communications with urban intersection path loss models"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "equivalence and comparison of heterogeneous cellular networks"

Connected through hyperedge HE-4 (induced by source paper "fine grained vs average reliability for v2v communications around intersections"):
  with members:
    - "fine grained reliability for v2v communications around suburban and urban intersections"
    - "vehicle to vehicle communications with urban intersection path loss models"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"

Connected through hyperedge HE-5 (induced by source paper "disruptive events in high density cellular networks"):
  with members:
    - "large deviations of the interference in the ginibre network model"

Connected through hyperedge HE-6 (induced by source paper "poisson cluster process based analysis of hetnets with correlated user and base station locations"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"

Connected through hyperedge HE-7 (induced by source paper "optimizing spatial throughput in device to device networks"):
  with members:
    - "stronger wireless signals appear more poisson"
    - "performance laws of large heterogeneous cellular networks"
    - "spectrum sharing for device to device communication in cellular networks"
    - "the performance of successive interference cancellation in random wireless networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "downlink performance analysis for a generalized shotgun cellular system"

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)