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: "statistical modeling and probabilistic analysis of cellular networks with determinantal point processes"
  Abstract: Although the Poisson point process (PPP) has been widely used to model base station (BS) locations in cellular networks, it is an idealized model that neglects the spatial correlation among BSs. The present paper proposes the use of determinantal point process (DPP) to take into account these correlations; in particular the repulsiveness among macro base station locations. DPPs are demonstrated to be analytically tractable by leveraging several unique computational properties. Specifically, we show that the empty space function, the nearest neighbor function, the mean interference and the signal-to-interference ratio (SIR) distribution have explicit analytical representations and can be numerically evaluated for cellular networks with DPP configured BSs. In addition, the modeling accuracy of DPPs is investigated by fitting three DPP models to real BS location data sets from two major U.S. cities. Using hypothesis testing for various performance metrics of interest, we show that these fitted DPPs are significantly more accurate than popular choices such as the PPP and the perturbed hexagonal grid model.

Connected through hyperedge HE-1 (induced by source paper "smart radio environments empowered by ai reconfigurable meta surfaces an idea whose time has come"):
  with members:
    - "a novel communication paradigm for high capacity and security via programmable indoor wireless environments in next generation wireless systems"
    - "reflection probability in wireless networks with metasurface coated environmental objects an approach based on random spatial processes"
    - "a tractable analysis of the blind spot probability in localization networks under correlated blocking"
    - "using any surface to realize a new paradigm for wireless communications"
    - "wireless network intelligence at the edge"
    - "medium access control in wireless network on chip a context analysis"
    - "beyond massive mimo the potential of positioning with large intelligent surfaces"
    - "realizing wireless communication through software defined hypersurface environments"

Connected through hyperedge HE-2 (induced by source paper "machine learning meets stochastic geometry determinantal subset selection for wireless networks"):
  with members:
    - "a very brief introduction to machine learning with applications to communication systems"
    - "determinantal thinning of point processes with network learning applications"

Connected through hyperedge HE-3 (induced by source paper "spatial networks with wireless applications"):
  with members:
    - "boundaries as an enhancement technique for physical layer security"
    - "on the capacity of fractal wireless networks with direct social interactions"
    - "correlated interference from uncorrelated users in bounded ad hoc networks with blockage"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "on the capacity of wireless networks with fractal and hierarchical social communications"
    - "boundaries can enhance physical layer security at high data rates"
    - "temporal correlation of interference in bounded mobile ad hoc networks with blockage"
    - "interference functionals in poisson networks"

Connected through hyperedge HE-4 (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"
    - "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"
    - "performance impact of los and nlos transmissions in dense cellular networks"

Connected through hyperedge HE-5 (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"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "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"

Connected through hyperedge HE-6 (induced by source paper "performance of a link in a field of vehicular interferers with hardcore headway distance"):
  with members:
    - "the meta distribution of the sir in linear motorway vanets"
    - "temporal correlation of interference and outage in mobile networks over one dimensional finite regions"
    - "temporal correlation of interference in vehicular networks with shifted exponential time headways"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "temporal correlation of interference in bounded mobile ad hoc networks with blockage"
    - "asymptotic deployment gain a simple approach to characterize the sinr distribution in general cellular networks"
    - "effect of spatial interference correlation on the performance of maximum ratio combining"

Connected through hyperedge HE-7 (induced by source paper "moments of interference in vehicular networks with hardcore headway distance"):
  with members:
    - "temporal correlation of interference and outage in mobile networks over one dimensional finite regions"
    - "performance of a link in a field of vehicular interferers with hardcore headway distance"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "user point processes in cellular networks"
    - "rigorous high precision computation of the hurwitz zeta function and its derivatives"
    - "analytical modeling of uplink cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-8 (induced by source paper "determinantal thinning of point processes with network learning applications"):
  with members:
    - "large deviations of the interference in the ginibre network model"

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)