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 "moments of interference in vehicular networks with hardcore headway distance"):
  Abstract: Interference statistics in vehicular networks have long been studied using the Poisson Point Process (PPP) for the locations of vehicles. In roads with few number of lanes and restricted overtaking, this model becomes unrealistic because it assumes that the vehicles can come arbitrarily close to each other. In this paper, we model the headway distance (the distance between the head of a vehicle and the head of its follower) equal to the sum of a constant hardcore distance and an exponentially distributed random variable. We study the mean, the variance and the skewness of interference at the origin with this deployment model. Even though the pair correlation function becomes complicated, we devise simple formulae to capture the impact of hardcore distance on the variance of interference in comparison with a PPP model of equal intensity. In addition, we study the extreme scenario where the interference originates from a lattice. We show how to relate the variance of interference due to a lattice to that of a PPP under Rayleigh fading.

Includes members:
  Member "temporal correlation of interference and outage in mobile networks over one dimensional finite regions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "spatio temporal correlation of interference in manet under spatially correlated shadowing environment")
  Member "performance of a link in a field of vehicular interferers with hardcore headway distance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the meta distribution of the sir in linear motorway vanets")
  Member "an analytical framework for coverage in cellular networks leveraging vehicles":
    also connected through other hyperedges:
      - Hyperedge HE-3 (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-4 (induced by source paper "how to dimension radio resources when users are distributed on roads modeled by poisson line process")
  Member "user point processes in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "scheduling policies for federated learning in wireless networks")
  Member "statistical modeling and probabilistic analysis of cellular networks with determinantal point processes":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "smart radio environments empowered by ai reconfigurable meta surfaces an idea whose time has come")
  Member "rigorous high precision computation of the hurwitz zeta function and its derivatives":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "computing hypergeometric functions rigorously")
  Member "analytical modeling of uplink cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments")

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.NI(Networking and Internet Architecture)