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: "modeling cellular networks in fading environments with dominant specular components"
  Abstract: Stochastic geometry (SG) has been widely accepted as a fundamental tool for modeling and analyzing cellular networks. However, the fading models used with SG analysis are mainly confined to the simplistic Rayleigh fading, which is extended to the Nakagami-m fading in some special cases. However, neither the Rayleigh nor the Nakagami-m accounts for dominant specular components (DSCs) which may appear in realistic fading channels. In this paper, we present a tractable model for cellular networks with generalized two-ray (GTR) fading channel. The GTR fading explicitly accounts for two DSCs in addition to the diffuse components and offers high flexibility to capture diverse fading channels that appear in realistic outdoor/indoor wireless communication scenarios. It also encompasses the famous Rayleigh and Rician fading as special cases. To this end, the prominent effect of DSCs is highlighted in terms of average spectral efficiency.

Connected through hyperedge HE-1 (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-2 (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"
    - "unified stochastic geometry modeling and analysis of cellular networks in los nlos and shadowed fading"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"

Connected through hyperedge HE-3 (induced by source paper "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"):
  with members:
    - "properties of an aloha like stability region"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "m2m massive access in lte rach performance evaluation in a smart city scenario"
    - "on the evaluation of lte random access channel overload in a smart city scenario"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"
    - "tractable stochastic geometry model for iot access in lte networks"
    - "the intensity matching approach a tractable stochastic geometry approximation to system level analysis of cellular networks"
    - "are we approaching the fundamental limits of wireless network densification"

Connected through hyperedge HE-4 (induced by source paper "unified stochastic geometry modeling and analysis of cellular networks in los nlos and shadowed fading"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "unified stochastic geometry model for mimo cellular networks with retransmissions"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "on modeling coverage and rate of random cellular networks under generic channel fading"
    - "optimizing user association and spectrum allocation in hetnets a utility perspective"
    - "hethetnets heterogeneous traffic distribution in heterogeneous wireless cellular networks"
    - "downlink cellular network analysis with multi slope path loss models"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-5 (induced by source paper "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"):
  with members:
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"
    - "statistical characterization of kappa mu shadowed fading"
    - "downlink mimo hetnets modeling ordering results and performance analysis"
    - "average rate of downlink heterogeneous cellular networks over generalized fading channels a stochastic geometry approach"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"
    - "downlink coverage analysis in a heterogeneous cellular network"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-6 (induced by source paper "flexible design for alpha duplex communications in multi tier cellular networks"):
  with members:
    - "can uplink transmissions survive in full duplex cellular environments"
    - "impact of directionality on interference mitigation in full duplex cellular network"
    - "throughput and coverage for a mixed full and half duplex small cell network"
    - "harvesting full duplex rate gains in cellular networks with half duplex user terminals"
    - "in band full duplex communications for cellular networks with partial uplink downlink overlap"
    - "limits on the capacity of in band full duplex communication in uplink cellular networks"
    - "full duplex radio for uplink downlink transmission with spatial randomness"
    - "interference management with partial uplink downlink spectrum overlap"

Connected through hyperedge HE-7 (induced by source paper "in band alpha duplex scheme for cellular networks a stochastic geometry approach"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "can uplink transmissions survive in full duplex cellular environments"
    - "impact of directionality on interference mitigation in full duplex cellular network"
    - "in band full duplex communications for cellular networks with partial uplink downlink overlap"
    - "prototyping real time full duplex radios"
    - "full duplex radio for uplink downlink transmission with spatial randomness"
    - "full duplex mimo small cell networks performance analysis"
    - "throughput analysis for full duplex wireless networks with imperfect self interference cancellation"

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)