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: "mgf approach to the analysis of generalized two ray fading models"
  Abstract: We analyze a class of Generalized Two-Ray (GTR) fading channels that consist of two line of sight (LOS) components with random phase plus a diffuse component. We derive a closed form expression for the moment generating function (MGF) of the signal-to-noise ratio (SNR) for this model, which greatly simplifies its analysis. This expression arises from the observation that the GTR fading model can be expressed in terms of a conditional underlying Rician distribution. We illustrate the approach to derive simple expressions for statistics and performance metrics of interest such as the amount of fading, the level crossing rate, the symbol error rate, and the ergodic capacity in GTR fading channels. We also show that the effect of considering a more general distribution for the phase difference between the LOS components has an impact on the average SNR.

Connected through hyperedge HE-1 (induced by source paper "composite fading models based on inverse gamma shadowing theory and validation"):
  with members:
    - "on the utility of the inverse gamma distribution in modeling composite fading channels"
    - "an extension of the kappa mu shadowed fading model statistical characterization and applications"
    - "the kappa mu shadowed fading model with integer fading parameters"
    - "the fluctuating two ray fading model statistical characterization and performance analysis"

Connected through hyperedge HE-2 (induced by source paper "stochastic fading channel models with multiple dominant specular components for 5g and beyond"):
  with members:
    - "intelligent reflecting surface enhanced wireless network via joint active and passive beamforming"
    - "a generalized fading model with multiple specular components"
    - "intelligent reflecting surface enhanced wireless network joint active and passive beamforming design"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"
    - "the fluctuating two ray fading model statistical characterization and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "unveiling the hyper rayleigh regime of the fluctuating two ray fading model"):
  with members:
    - "physical layer security over fluctuating two ray fading channels"
    - "new results on the fluctuating two ray model with arbitrary fading parameters and its applications"
    - "the fluctuating two ray fading model statistical characterization and performance analysis"
    - "a new framework for the performance analysis of wireless communications under hoyt nakagami q fading"

Connected through hyperedge HE-4 (induced by source paper "new results on the fluctuating two ray model with arbitrary fading parameters and its applications"):
  with members:
    - "28 ghz millimeter wave ultrawideband small scale fading models in wireless channels"
    - "the fluctuating two ray fading model statistical characterization and performance analysis"
    - "five disruptive technology directions for 5g"

Connected through hyperedge HE-5 (induced by source paper "wireless channel modeling perspectives for ultra reliable low latency communications"):
  with members:
    - "ultra reliable communication in 5g wireless systems"

Connected through hyperedge HE-6 (induced by source paper "on the calculation of the incomplete mgf with applications to wireless communications"):
  with members:
    - "the kappa mu shadowed fading model with integer fading parameters"
    - "on the equivalence between interference and eavesdropping in wireless communications"
    - "secrecy capacity analysis over kappa mu fading channels theory and applications"
    - "a new framework for the performance analysis of wireless communications under hoyt nakagami q fading"
    - "a unified mgf based capacity analysis of diversity combiners over generalized fading channels"
    - "an mgf based unified framework to determine the joint statistics of partial sums of ordered random variables"

Connected through hyperedge HE-7 (induced by source paper "modeling cellular networks in fading environments with dominant specular components"):
  with members:
    - "stochastic geometry modeling of cellular networks analysis simulation and experimental validation"
    - "millimeter wave cellular wireless networks potentials and challenges"
    - "average rate of downlink heterogeneous cellular networks over generalized fading channels a stochastic geometry approach"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "the fluctuating two ray fading model statistical characterization and performance analysis"):
  with members:
    - "28 ghz millimeter wave ultrawideband small scale fading models in wireless channels"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "statistical characterization of kappa mu shadowed fading"
    - "five disruptive technology directions for 5g"

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)