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: "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"
  Abstract: One of the principal underlying assumptions of current approaches to the analysis of heterogeneous cellular networks (HetNets) with random spatial models is the uniform distribution of users independent of the base station (BS) locations. This assumption is not quite accurate, especially for user-centric capacity-driven small cell deployments where low-power BSs are deployed in the areas of high user density, thus inducing a natural correlation in the BS and user locations. In order to capture this correlation, we enrich the existing K-tier Poisson Point Process (PPP) HetNet model by considering user locations as Poisson Cluster Process (PCP) with the BSs at the cluster centers. In particular, we provide the formal analysis of the downlink coverage probability in terms of a general density functions describing the locations of users around the BSs. The derived results are specialized for two cases of interest: (i) Thomas cluster process, where the locations of the users around BSs are Gaussian distributed, and (ii) Mat\'ern cluster process, where the users are uniformly distributed inside a disc of a given radius. Tight closed-form bounds for the coverage probability in these two cases are also derived. Our results demonstrate that the coverage probability decreases as the size of user clusters around BSs increases, ultimately collapsing to the result obtained under the assumption of PPP distribution of users independent of the BS locations when the cluster size goes to infinity. Using these results, we also handle mixed user distributions consisting of two types of users: (i) uniformly distributed, and (ii) clustered around certain tiers.

Connected through hyperedge HE-1 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network"):
  with members:
    - "optimization of energy constrained wireless powered communication networks with heterogeneous nodes"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "joint uplink and downlink coverage analysis of cellular based rf powered iot network"
    - "non orthogonal multiple access schemes in wireless powered communication networks"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "on optimal policies in full duplex wireless powered communication networks"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"

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"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "a primer on cellular network analysis using stochastic geometry"
    - "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 "bandwidth partitioning and downlink analysis in mmwave integrated access and backhaul for 5g"):
  with members:
    - "modeling and analyzing millimeter wave cellular systems"
    - "integrated mmwave access and backhaul in 5g bandwidth partitioning and downlink analysis"
    - "directional cell search delay analysis for cellular networks with static users"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "joint backhaul access analysis of full duplex self backhauling heterogeneous networks"
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "analysis of massive mimo enabled downlink wireless backhauling for full duplex small cells"
    - "coverage in heterogeneous downlink millimeter wave cellular networks"

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"
    - "stochastic geometry modeling and analysis of single and multi cluster wireless networks"
    - "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 "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"
    - "coverage in downlink heterogeneous mmwave cellular networks with user centric small cell deployment"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"

Connected through hyperedge HE-6 (induced by source paper "johnson mehl cell based analysis of ul cellular network with coupled user and bs locations"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "user point processes in cellular networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "joint rate and sinr coverage analysis for decoupled uplink downlink biased cell associations in hetnets"
    - "analytical modeling of uplink cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"

Connected through hyperedge HE-7 (induced by source paper "a stochastic model for uav networks positioned above demand hotspots in urban environments"):
  with members:
    - "dynamic base station repositioning to improve performance of drone small cells"
    - "backhaul for low altitude uavs in urban environments"
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "energy efficient uav communication with trajectory optimization"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "mobile internet of things can uavs provide an energy efficient mobile architecture"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "ergodic spectral efficiency in mimo cellular networks"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "scaling laws for ergodic spectral efficiency in mimo poisson networks"
    - "wireless network signals with moderately correlated shadowing still appear poisson"
    - "gaussian approximation for the downlink interference in heterogeneous cellular networks"
    - "analytical tractability of hexagonal network model with random user location"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "an analytical framework for device to device communication in cellular networks"
    - "success probability and area spectral efficiency in multiuser mimo hetnets"

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)