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 analysis of 3 d dense cellular networks with realistic propagation conditions"):
  Abstract: In recent times, the use of stochastic geometry has become a popular and important tool for performance analysis of next-generation dense small cell wireless networks. Usually, such networks are modeled using 2 dimensional spatial Poisson point processes (SPPP). Moreover, the distinctive effects of line-of-sight (LOS) and non-line-of-sight (NLOS) propagation are also not explicitly taken into account in such analysis. The aim of the current work is to bridge this gap by modeling the access point (AP) and user equipment (UE) locations by 3-dimensional SPPP and considering the realistic LOS/NLOS channel models (path loss and small scale fading) as reported in existing standards. The effect of UE density on downlink coverage probability has also been investigated. In this process, the probabilistic activity of APs has been analytically modeled as a function of AP and UE densities. The derived upper bound of coverage probability is found to be numerically simple as well as extremely tight in nature and thus can be used as a close approximation of the same.

Includes members:
  Member "downlink cellular network analysis with los nlos propagation and elevated base stations":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "modeling and performance analysis in cache enabled millimeter wave hetnets with access and backhaul integration")
  Member "sinr and throughput scaling in ultradense urban cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sum rate maximization of multicell miso networks with limited information exchange")
  Member "effect of los nlos propagation on area spectral efficiency and energy efficiency of small cells":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "radio access network and spectrum sharing in mobile networks a stochastic geometry perspective")
  Member "what will 5g be":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges")
  Member "a stochastic geometry framework for los nlos propagation in dense small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "energy efficient cooperative caching in uav networks")
  Member "coverage and economy of cellular networks with many base stations":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "5g massive mimo architectures self backhauled small cells versus direct access")
  Member "a tractable approach to coverage and rate in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna 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)