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 non uniform ue distributions in downlink cellular networks"
  Abstract: A recent way to model and analyze downlink cellular networks is by using random spatial models. Assuming user equipment (UE) distribution to be uniform, the analysis is performed at a typical UE located at the origin. At least one shortcoming of this approach is its inability to model non-uniform UE distributions, especially when there is dependence in the UE and the base station (BS) locations. To facilitate analysis in such cases, we propose a new tractable method of sampling UEs by conditionally thinning the BS point process and show that the resulting framework can be used as a tractable generative model to study current capacity-centric deployments, where the UEs are more likely to lie closer to the BSs.

Connected through hyperedge HE-1 (induced by source paper "fog massive mimo a user centric seamless hot spot architecture"):
  with members:
    - "a novel alternative to cloud ran for throughput densification coded pilots and fast user packet scheduling at remote radio heads"
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "unique coverage in boolean models"
    - "system level performance evaluation of lte v2x network"
    - "an uplink downlink duality for cloud radio access network"
    - "rrh based massive mimo with on the fly pilot contamination control"

Connected through hyperedge HE-2 (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-3 (induced by source paper "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"):
  with members:
    - "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"
    - "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"
    - "interference functionals in poisson networks"
    - "poisson hole process theory and applications to wireless networks"
    - "modeling and analyzing the coexistence of wi fi and lte in unlicensed spectrum"
    - "modeling and performance analysis of clustered device to device networks"
    - "statistical modeling and probabilistic analysis of cellular networks with determinantal point processes"

Connected through hyperedge HE-4 (induced by source paper "poisson cluster process bridging the gap between ppp and 3gpp hetnet models"):
  with members:
    - "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"
    - "hethetnets heterogeneous traffic distribution in heterogeneous wireless cellular networks"
    - "multi channel hybrid access femtocells a stochastic geometric analysis"
    - "heterogeneous cellular networks with flexible cell association a comprehensive downlink sinr analysis"

Connected through hyperedge HE-5 (induced by source paper "poisson cluster process based analysis of hetnets with correlated user and base station locations"):
  with members:
    - "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"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "fundamentals of modeling finite wireless networks using binomial point process"
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"

Connected through hyperedge HE-6 (induced by source paper "enriched k tier hetnet model to enable the analysis of user centric small cell deployments"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "poisson cluster process based analysis of hetnets with correlated user and base station locations"
    - "system level analysis of heterogeneous networks under imperfect traffic hotspot localization"
    - "poisson hole process theory and applications to wireless networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "hethetnets heterogeneous traffic distribution in heterogeneous wireless cellular networks"

Connected through hyperedge HE-7 (induced by source paper "hethetnets heterogeneous traffic distribution in heterogeneous wireless cellular networks"):
  with members:
    - "green cellular networks a survey some research issues and challenges"

Connected through hyperedge HE-8 (induced by source paper "multi user coverage probability of uplink cellular systems a stochastic geometry approach"):
  with members:
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "analytical modeling of uplink cellular networks"
    - "load aware modeling and analysis of heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"
    - "on the accuracy of the wyner model in cellular networks"

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)