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 "ergodic spectral efficiency in mimo cellular networks"):
  Abstract: This paper shows how the application of stochastic geometry to the analysis of wireless networks is greatly facilitated by: (   ${i}$   ) a clear separation of time scales; ( ii ) the abstraction of small-scale effects via ergodicity; and ( iii ) an interference model that reflects the receiver’s lack of knowledge of how each individual interference term is faded. These procedures render the analysis both more manageable and more precise, as well as more amenable to the incorporation of subsequent features. In particular, the paper presents analytical characterizations of the ergodic spectral efficiency of cellular networks with single-user multiple-input multiple-output and sectorization. These characterizations, in the form of easy-to-evaluate expressions, encompass the coverage, the distribution of spectral efficiency over the network locations, and the average thereof.

Includes members:
  Member "modeling and analysis of cellular networks using stochastic geometry a tutorial":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "enriched k tier hetnet model to enable the analysis of user centric small cell deployments":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint energy and sinr coverage in spatially clustered rf powered iot network")
  Member "scaling laws for ergodic spectral efficiency in mimo poisson networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "wireless network signals with moderately correlated shadowing still appear poisson":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "massive mimo forward link analysis for cellular networks")
  Member "gaussian approximation for the downlink interference in heterogeneous cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficient power and channel allocation in underlay device to multi device communications")
  Member "analytical tractability of hexagonal network model with random user location":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dynamic tdd interference analysis in macro cell and small cell deployments")
  Member "asymptotics and approximation of the sir distribution in general cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "sir analysis via signal fractions")
  Member "an analytical framework for device to device communication in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "uav to uav communications in cellular networks")

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)