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: "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
  Abstract: In this paper, we consider a vehicular network in which the wireless nodes are located on a system of roads. We model the roadways, which are predominantly straight and randomly oriented, by a Poisson line process (PLP) and the locations of nodes on each road as a homogeneous 1D Poisson point process (PPP). Assuming that each node transmits independently, the locations of transmitting and receiving nodes are given by two Cox processes driven by the same PLP. For this setup, we derive the coverage probability of a typical receiver, which is an arbitrarily chosen receiving node, assuming independent Nakagami-$m$ fading over all wireless channels. Assuming that the typical receiver connects to its closest transmitting node in the network, we first derive the distribution of the distance between the typical receiver and the serving node to characterize the desired signal power. We then characterize coverage probability for this setup, which involves two key technical challenges. First, we need to handle several cases as the serving node can possibly be located on any line in the network and the corresponding interference experienced at the typical receiver is different in each case. Second, conditioning on the serving node imposes constraints on the spatial configuration of lines, which require careful analysis of the conditional distribution of the lines. We address these challenges in order to accurately characterize the interference experienced at the typical receiver. We then derive an exact expression for coverage probability in terms of the derivative of Laplace transform of interference power distribution. We analyze the trends in coverage probability as a function of the network parameters: line density and node density. We also study the asymptotic behavior of this model and compare the coverage performance with that of a homogeneous 2D PPP model with the same node density.

Connected through hyperedge HE-1 (induced by source paper "how to dimension radio resources when users are distributed on roads modeled by poisson line process"):
  with members:
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "analytical tractability of hexagonal network model with random user location"
    - "robust methods for lte and wimax dimensioning"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-2 (induced by source paper "coverage and rate analysis of downlink cellular vehicle to everything c v2x communication"):
  with members:
    - "stochastic geometry modeling of cellular v2x communication over shared channels"
    - "how to dimension 5g network when users are distributed on roads modeled by poisson line process"
    - "poisson cox point processes for vehicular networks"
    - "success probability and area spectral efficiency of a vanet modeled as a cox process"
    - "characterizing shortest paths in road systems modeled as manhattan poisson line processes"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "modeling and design of millimeter wave networks for highway vehicular communication"
    - "mmwave vehicle to infrastructure communication analysis of urban microcellular networks"

Connected through hyperedge HE-3 (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"
    - "the meta distribution of the sir for cellular networks with power control"
    - "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-4 (induced by source paper "spatial and temporal analysis of direct communications from static devices to mobile vehicles"):
  with members:
    - "poisson cox point processes for vehicular networks"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "spatial motifs for device to device network analysis dna in cellular networks"
    - "vehicular communications survey and challenges of channel and propagation models"
    - "analytical modeling of uplink cellular networks"
    - "internet of things iot a vision architectural elements and future directions"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"
    - "spatial and temporal correlation of the interference in aloha ad hoc networks"

Connected through hyperedge HE-5 (induced by source paper "radio resource dimensioning with cox process based user location distribution"):
  with members:
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "mmwave vehicle to infrastructure communication analysis of urban microcellular networks"
    - "analytical tractability of hexagonal network model with random user location"
    - "robust methods for lte and wimax dimensioning"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-6 (induced by source paper "outage in motorway multi lane vanets with hardcore headway distance using synthetic traces"):
  with members:
    - "the meta distribution of the sir in linear motorway vanets"
    - "interference modeling for cellular networks under beamforming transmission"
    - "temporal correlation of interference in bounded mobile ad hoc networks with blockage"
    - "the ginibre point process as a model for wireless networks with repulsion"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-7 (induced by source paper "hierarchical soft slicing to meet multi dimensional qos demand in cache enabled vehicular networks"):
  with members:
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "on the application of network slicing for 5g v2x"
    - "self sustaining caching stations toward cost effective 5g enabled vehicular networks"

Connected through hyperedge HE-8 (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"
    - "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"
    - "wireless fractal 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)