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: "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
  Abstract: This paper develops a stochastic geometry-based approach for the modeling and analysis of single- and multi-cluster wireless networks. We first define finite homogeneous Poisson point processes to model the number and locations of the transmitters in a confined region as a single-cluster wireless network. We study the coverage probability for a reference receiver for two strategies; closest-selection, where the receiver is served by the closest transmitter among all transmitters, and uniform-selection, where the serving transmitter is selected randomly with uniform distribution. Second, using Matern cluster processes, we extend our model and analysis to multi-cluster wireless networks. Here, the receivers are modeled in two types, namely, closed- and open-access. Closed-access receivers are distributed around the cluster centers of the transmitters according to a symmetric normal distribution and can be served only by the transmitters of their corresponding clusters. Open-access receivers, on the other hand, are placed independently of the transmitters and can be served by all transmitters. In all cases, the link distance distribution and the Laplace transform (LT) of the interference are derived. We also derive closed-form lower bounds on the LT of the interference for single-cluster wireless networks. The impact of different parameters on the performance is also investigated.

Connected through hyperedge HE-1 (induced by source paper "stochastic design and analysis of wireless cloud caching networks"):
  with members:
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "random caching based cooperative transmission in heterogeneous wireless networks"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "effect of retransmissions on optimal caching in cache enabled small cell networks"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "cache enabled heterogeneous cellular networks optimal tier level content placement"

Connected through hyperedge HE-2 (induced by source paper "on the contact and nearest neighbor distance distributions for the n dimensional matern cluster process"):
  with members:
    - "equi coverage contours in cellular networks"
    - "downlink coverage probability in cellular networks with poisson poisson cluster deployed base stations"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "a primer on cellular network analysis using stochastic geometry"
    - "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "nearest neighbor and contact distance distributions for thomas cluster process"
    - "modeling and performance analysis of clustered device to device networks"

Connected through hyperedge HE-3 (induced by source paper "self organized scheduling request for uplink 5g networks a d2d clustering approach"):
  with members:
    - "power control and channel allocation for d2d underlaid cellular networks"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "sinr and throughput of dense cellular networks with stretched exponential path loss"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "the meta distribution of the sir for cellular networks with power control"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"
    - "modeling cellular networks with full duplex d2d communication a stochastic geometry approach"

Connected through hyperedge HE-4 (induced by source paper "unified analysis of hetnets using poisson cluster process under max power association"):
  with members:
    - "equi coverage contours in cellular networks"
    - "downlink coverage probability in cellular networks with poisson poisson cluster deployed base stations"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "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"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "interference functionals in poisson networks"
    - "nearest neighbor and contact distance distributions for thomas cluster process"

Connected through hyperedge HE-5 (induced by source paper "stochastic geometry modeling and analysis of finite millimeter wave wireless networks"):
  with members:
    - "spectral efficiency analysis of multi cell massive mimo systems with ricean fading"
    - "modeling and analyzing millimeter wave cellular systems"
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "enclosed mmwave wearable networks feasibility and performance"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "performance analysis of outdoor mmwave ad hoc networks"
    - "device to device millimeter wave communications interference coverage rate and finite topologies"

Connected through hyperedge HE-6 (induced by source paper "asynchronous downlink massive mimo networks a stochastic geometry approach"):
  with members:
    - "deploying dense networks for maximal energy efficiency small cells meet massive mimo"
    - "three practical aspects of massive mimo intermittent user activity pilot synchronism and asymmetric deployment"
    - "analyzing uplink sinr and rate in massive mimo systems using stochastic geometry"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "what will 5g be"
    - "analytical modeling of uplink cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "pilot contamination and precoding in multi cell tdd systems"

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)