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: "unified stochastic geometry modeling and analysis of cellular networks in los nlos and shadowed fading"
  Abstract: Statistical characterization of the signal-to-interference-plus-noise ratio (SINR) via its cumulative distribution function (CDF) is ubiquitous in a vast majority of technical contributions in the area of cellular networks since it boils down to averaging the Laplace transform of the aggregate interference, a benefit accorded at the expense of confinement to the simplistic Rayleigh fading. In this work, to capture diverse fading channels that appear in realistic outdoor/indoor wireless communication scenarios, we tackle the problem differently. By exploting the moment generating function (MGF) of the SINR, we succeed in analytically assessing cellular networks performance over the shadowed {\kappa}-{\mu}, {\kappa}-{\mu} and {\eta}-{\mu} fading models. The latter offer high flexibility by capturing diverse fading channels including Rayleigh, Nakagami-m, Rician, and Rician shadow fading distributions. These channel models have been recently praised for their capability to accurately model dense urban environments, future femtocells and device-to-device (D2D) shadowed channels. In addition to unifying the analysis for different channel models, this work integrates, for the first time, the coverage, the achievable rate, and the bit error probability (BEP), which are largely treated separately in the literature. The developed model and analysis are validated over a broad range of simulation setups and parameters.

Connected through hyperedge HE-1 (induced by source paper "hetnets coverage modeling and analysis over fox s mathcal h fading channels"):
  with members:
    - "unified analysis and optimization of d2d communications in cellular networks over fading channels"
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "a stochastic geometric analysis of device to device communications operating over generalized fading channels"
    - "success probability and area spectral efficiency in multiuser mimo hetnets"
    - "downlink multi antenna heterogeneous cellular network with load balancing"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a novel unified expression for the capacity and bit error probability of wireless communication systems over generalized fading channels"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "sir coverage analysis in cellular networks with temporal traffic a stochastic geometry approach"):
  with members:
    - "cell edge aware precoding for downlink massive mimo cellular networks"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "packet throughput analysis of static and dynamic tdd in small cell networks"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "toward a tractable delay analysis in ultra dense networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "towards 1 gbps ue in cellular systems understanding ultra dense small cell deployments"

Connected through hyperedge HE-3 (induced by source paper "unified analysis and optimization of d2d communications in cellular networks over fading channels"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "a stochastic geometric analysis of device to device communications operating over generalized fading channels"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "modeling and performance analysis of clustered device to device networks"
    - "an analytical framework for device to device communication in cellular networks"
    - "distributed sir aware opportunistic access control for d2d underlaid cellular networks"
    - "power control for d2d underlaid cellular networks modeling algorithms and analysis"

Connected through hyperedge HE-4 (induced by source paper "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"):
  with members:
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "stochastic geometry analysis of ultra dense networks impact of antenna height and performance limits"
    - "modeling and analyzing millimeter wave cellular systems"
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "performance limits of network densification"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "performance impact of base station antenna heights in dense cellular networks"

Connected through hyperedge HE-5 (induced by source paper "sinr and throughput of dense cellular networks with stretched exponential path loss"):
  with members:
    - "effect of densification on cellular network performance with bounded pathloss model"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "coverage and capacity scaling laws in downlink ultra dense cellular networks"
    - "study on the idle mode capability with los and nlos transmissions"
    - "modeling cellular networks in fading environments with dominant specular components"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"

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.IT(Information Theory)