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: "coverage in downlink heterogeneous mmwave cellular networks with user centric small cell deployment"
  Abstract: A K-tier heterogeneous downlink millimeter wave (mmWave) cellular network with user-centric small cell deployments is studied in this paper. In particular, we consider a heterogeneous network model with user equipments (UEs) being distributed according to a Poisson Cluster Process (PCP). Specifically, we address two cluster processes, namely (i) Thomas cluster process, where the UEs are clustered around the base stations (BSs) and the distances between UEs and the BS are modeled as Gaussian distributed, and (ii) Matern cluster process, where the UEs are scattered according to a uniform distribution. In addition, distinguishing features of mmWave communications including directional beamforming and a sophisticated path loss model incorporating both line-of-sight (LOS) and non-line-of-sight (NLOS) transmissions, are taken into account. Initially, the complementary cumulative distribution function (CCDF) and probability density function (PDF) of path loss are provided. Subsequently, using tools from stochastic geometry, we derive a general expression for the signal-to-interference-plus-noise ratio (SINR) coverage probability. Our results demonstrate that coverage probability can be improved by decreasing the size of UE clusters around BSs, decreasing the beamwidth of the main lobe, or increasing the main lobe directivity gain. Moreover, interference has noticeable influence on the coverage performance of our model. We also show that better coverage performance is achieved in the presence of clustered users compared to the case in which the users are distributed according to a Poisson Point Process (PPP).

Connected through hyperedge HE-1 (induced by source paper "modeling and performance analysis in cache enabled millimeter wave hetnets with access and backhaul integration"):
  with members:
    - "modeling and analysis of d2d millimeter wave networks with poisson cluster processes"
    - "a unified asymptotic analysis of area spectral efficiency in ultradense cellular networks"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "dense small cell networks from noise limited to dense interference limited"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "energy efficiency of downlink networks with caching at base stations"
    - "fundamentals of the downlink green coverage and energy efficiency in heterogeneous networks"

Connected through hyperedge HE-2 (induced by source paper "optimized deployment of millimeter wave networks for in venue regions with stochastic users orientation"):
  with members:
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "coverage and spectral efficiency of indoor mmwave networks with ceiling mounted access points"
    - "enclosed mmwave wearable networks feasibility and performance"
    - "rapid fading due to human blockage in pedestrian crowds at 5g millimeter wave frequencies"
    - "context aware scheduling of joint millimeter wave and microwave resources for dual mode base stations"
    - "analysis of human body blockage in urban millimeter wave cellular communications"

Connected through hyperedge HE-3 (induced by source paper "downlink analysis in unmanned aerial vehicle uav assisted cellular networks with clustered users"):
  with members:
    - "uplink coverage performance of an underlay drone cell for temporary events"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "optimal transport theory for cell association in uav enabled cellular networks"
    - "uplink performance analysis in d2d enabled mmwave cellular networks with clustered users"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "coverage maximization for a poisson field of drone cells"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"

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)