human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "coverage and rate analysis of downlink cellular vehicle to everything c v2x communication"):
  Abstract: In this paper, we present the downlink coverage and rate analysis of a cellular vehicle-to-everything (C-V2X) communication network where the locations of vehicular nodes and road side units (RSUs) are modeled as Cox processes driven by a Poisson line process (PLP) and the locations of cellular macro base stations (MBSs) are modeled as a 2D Poisson point process (PPP). Assuming a fixed selection bias and maximum average received power based association, we compute the probability with which a {\em typical receiver}, an arbitrarily chosen receiving node, connects to a vehicular node or an RSU and a cellular MBS. For this setup, we derive the signal-to-interference ratio (SIR)-based coverage probability of the typical receiver. One of the key challenges in the computation of coverage probability stems from the inclusion of shadowing effects. As the standard procedure of interpreting the shadowing effects as random displacement of the location of nodes is not directly applicable to the Cox process, we propose an approximation of the spatial model inspired by the asymptotic behavior of the Cox process. Using this asymptotic characterization, we derive the coverage probability in terms of the Laplace transform of interference power distribution. Further, we compute the downlink rate coverage of the typical receiver by characterizing the load on the serving vehicular nodes or RSUs and serving MBSs. We also provide several key design insights by studying the trends in the coverage probability and rate coverage as a function of network parameters. We observe that the improvement in rate coverage obtained by increasing the density of MBSs can be equivalently achieved by tuning the selection bias appropriately without the need to deploy additional MBSs.

Includes members:
  Member "stochastic geometry modeling of cellular v2x communication over shared channels":
    also connected through other hyperedges:
      (none)
  Member "how to dimension 5g network when users are distributed on roads modeled by poisson line process":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "statistical blockage modeling and robustness of beamforming in millimeter wave systems")
  Member "poisson cox point processes for vehicular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "spatial and temporal analysis of direct communications from static devices to mobile vehicles")
  Member "success probability and area spectral efficiency of a vanet modeled as a cox process":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "stochastic geometry modeling of cellular v2x communication over shared channels")
  Member "characterizing shortest paths in road systems modeled as manhattan poisson line processes":
    also connected through other hyperedges:
      (none)
  Member "an analytical framework for coverage in cellular networks leveraging vehicles":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "how to dimension radio resources when users are distributed on roads modeled by poisson line process")
  Member "coverage analysis of a vehicular network modeled as cox process driven by poisson line process":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "how to dimension radio resources when users are distributed on roads modeled by poisson line process")
  Member "modeling and design of millimeter wave networks for highway vehicular communication":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "outage analysis of cooperative noma using maximum ratio combining at intersections")

Question: Please tell me which class the source paper 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)