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: "analytical tractability of hexagonal network model with random user location"
  Abstract: Explicit derivation of interferences in hexagonal wireless networks has been widely considered intractable and requires extensive computations with system level simulations. In this paper, we fundamentally tackle this problem and explicitly evaluate the downlink interference-to-signal ratio (ISR) for any mobile location   $m$   in a hexagonal wireless network, whether composed of omni-directional or tri-sectorized sites. The explicit formula of ISR is a very convergent series on   $m$   and involves the use of Gauss hypergeometric and Hurwitz Riemann zeta functions. Besides, we establish simple identities that well approximate this convergent series and turn out quite useful compared to other approximations in literature. The derived expression of ISR is easily extended to any frequency reuse pattern. Moreover, it is also exploited in the derivation of an explicit form of SINR distribution for any arbitrary distribution of mobile user locations, reflecting the spatial traffic density in the network. Knowing explicitly about interferences and SINR distribution is very useful information in capacity and coverage planning of wireless cellular networks and particularly for macro-cells’ layer that forms almost a regular point pattern.

Connected through hyperedge HE-1 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments"):
  with members:
    - "3d beamforming based dynamic tdd interference mitigation scheme"
    - "interference analysis in dynamic tdd system combined or not with cell clustering scheme"
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "d2d enhanced heterogeneous cellular networks with dynamic tdd"
    - "dynamic uplink downlink optimization in tdd based small cell networks"
    - "analytical modeling of uplink cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-2 (induced by source paper "a 3d beamforming scheme based on the spatial distribution of user locations"):
  with members:
    - "optimal base station antenna downtilt in downlink cellular networks"
    - "interference analysis in dynamic tdd system combined or not with cell clustering scheme"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "how to dimension radio resources when users are distributed on roads modeled by poisson line process"):
  with members:
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "robust methods for lte and wimax dimensioning"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-4 (induced by source paper "radio resource dimensioning with cox process based user location distribution"):
  with members:
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "mmwave vehicle to infrastructure communication analysis of urban microcellular networks"
    - "robust methods for lte and wimax dimensioning"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-5 (induced by source paper "3d beamforming based dynamic tdd interference mitigation scheme"):
  with members:
    - "a 3d beamforming scheme based on the spatial distribution of user locations"
    - "elevation beamforming with full dimension mimo architectures in 5g systems a tutorial"
    - "interference analysis in dynamic tdd system combined or not with cell clustering scheme"
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-6 (induced by source paper "how to dimension 5g network when users are distributed on roads modeled by poisson line process"):
  with members:
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "robust methods for lte and wimax dimensioning"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-7 (induced by source paper "interference analysis in dynamic tdd system combined or not with cell clustering scheme"):
  with members:
    - "performance of dynamic and static tdd in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-8 (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"
    - "wireless network signals with moderately correlated shadowing still appear poisson"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "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"

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)