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 "large scale fading behavior for a cellular network with uniform spatial distribution"):
  Abstract: Large-scale fading (LSF) between interacting nodes is a fundamental element in radio communications, responsible for weakening the propagation, and thus worsening the service quality. Given the importance of channel-losses in general, and the inevitability of random spatial geometry in real-life wireless networks, it was then natural to merge these two paradigms together in order to obtain an improved stochastical model for the LSF indicator. Therefore, in exact closed-form notation, we generically derived the LSF distribution between a prepositioned reference base-station and an arbitrary node for a multi-cellular random network model. In fact, we provided an explicit and definitive formulation that considered at once: the lattice profile, the users' random geometry, the effect of the far-field phenomenon, the path-loss behavior, and the stochastic impact of channel scatters. The veracity and accuracy of the theoretical analysis were also confirmed through Monte Carlo simulations.

Includes members:
  Member "simple subroutine for inhomogeneous deployment":
    also connected through other hyperedges:
      (none)
  Member "distance distributions in regular polygons":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "air to air communications beyond 5g a novel 3d comp transmission scheme")
  Member "closed form path loss predictor for gaussianly distributed nodes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "simple and generic simulator algorithm for inhomogeneous random spatial deployment")
  Member "revisiting circular based random node simulation":
    also connected through other hyperedges:
      (none)
  Member "an exact path loss density model for mobiles in a cellular system":
    also connected through other hyperedges:
      (none)
  Member "cellular based statistical model for mobile dispersion":
    also connected through other hyperedges:
      (none)
  Member "distance distributions in finite uniformly random networks theory and applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "air to air communications beyond 5g a novel 3d comp transmission scheme")
  Member "collaborative beamforming for distributed wireless ad hoc sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coherent communications in self organizing networks with distributed beamforming")

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)