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: "the meta distribution of the sir for cellular networks with power control"
  Abstract: The meta distribution of the signal-to-interference ratio (SIR) provides fine-grained information about the performance of individual links in a wireless network. This paper focuses on the analysis of the meta distribution of the SIR for both the cellular network uplink and downlink with fractional power control. For the uplink scenario, an approximation of the interfering user point process with a non-homogeneous Poisson point process is used. The moments of the meta distribution for both scenarios are calculated. Some bounds, the analytical expression, the mean local delay, and the beta approximation of the meta distribution are provided. The results give interesting insights into the effect of the power control in both the uplink and downlink. Detailed simulations show that the approximations made in the analysis are well justified.

Connected through hyperedge HE-1 (induced by source paper "a spatiotemporal framework for information freshness in iot uplink networks"):
  with members:
    - "locally adaptive scheduling policy for optimizing information freshness in wireless networks"
    - "age of information in poisson networks"
    - "average age of information with hybrid arq under a resource constraint"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "the age of information real time status updating by multiple sources"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"

Connected through hyperedge HE-2 (induced by source paper "a spatiotemporal model for peak aoi in uplink iot networks time vs event triggered traffic"):
  with members:
    - "a spatiotemporal framework for information freshness in iot uplink networks"
    - "optimizing information freshness in computing enabled iot networks"
    - "locally adaptive scheduling policy for optimizing information freshness in wireless networks"
    - "can determinacy minimize age of information"
    - "age of information in poisson networks"
    - "average age of information with hybrid arq under a resource constraint"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"

Connected through hyperedge HE-3 (induced by source paper "massive mimo forward link analysis for cellular networks"):
  with members:
    - "massive mimo has unlimited capacity"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "downlink performance of superimposed pilots in massive mimo systems"
    - "wireless network signals with moderately correlated shadowing still appear poisson"
    - "no downlink pilots are needed in tdd massive mimo"
    - "analyzing uplink sinr and rate in massive mimo systems using stochastic geometry"
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"

Connected through hyperedge HE-4 (induced by source paper "simple approximations of the sir meta distribution in general cellular networks"):
  with members:
    - "sir meta distribution of k tier downlink heterogeneous cellular networks with cell range expansion"
    - "efficient calculation of meta distributions and the performance of user percentiles"
    - "equi coverage contours in cellular networks"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "asymptotic deployment gain a simple approach to characterize the sinr distribution in general cellular networks"
    - "the mean interference to signal ratio and its key role in cellular and amorphous networks"

Connected through hyperedge HE-5 (induced by source paper "the meta distribution of the sir in linear motorway vanets"):
  with members:
    - "outage in motorway multi lane vanets with hardcore headway distance using synthetic traces"
    - "moments of interference in vehicular networks with hardcore headway distance"
    - "performance of a link in a field of vehicular interferers with hardcore headway distance"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "fine grained vs average reliability for v2v communications around intersections"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "stochastic geometry modeling of cellular networks analysis simulation and experimental validation"

Connected through hyperedge HE-6 (induced by source paper "prioritized multi stream traffic in uplink iot networks spatially interacting vacation queues"):
  with members:
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis"
    - "heterogeneous cellular networks with spatio temporal traffic delay analysis and scheduling"
    - "the meta distribution of the sir in poisson bipolar and cellular networks"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-7 (induced by source paper "downlink analysis for the typical cell in poisson cellular networks"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "user point processes in cellular networks"
    - "modeling and analysis of k tier downlink heterogeneous cellular networks"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-8 (induced by source paper "on coverage probability with type ii harq in large uplink cellular networks"):
  with members:
    - "user point processes in cellular networks"
    - "effects of base station spatial interdependence on interference correlation and network performance"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"
    - "diversity polynomials for the analysis of temporal correlations in wireless 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)