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 "modeling co location in multi operator mmwave networks with spectrum sharing"):
  Abstract: Competing cellular operators aggressively share infrastructure in many major US markets. If operators also were to share spectrum in next-generation mmWave networks, intra-cellular interference will become correlated with inter-cellular interference. We propose a mathematical framework to model a multi-operator mmWave cellular network with co-located base-stations. We then characterize the SINR distribution for an arbitrary network and derive its coverage probability. To understand how varying the spatial correlation between different networks affects coverage probability, we derive special results for the two-operator scenario, where we construct the operators' individual networks from a single network via probabilistic coupling. For external validation, we devise a method to quantify and estimate spatial correlation from actual base-station deployments. We compare our two-operator model against an actual macro-cell-dominated network and an actual DAS-node-dominated network of different scales. Using the actual deployment data to set the parameters of our model, we observe that coverage probabilities for the model and actual deployments not only compare very well to each other, but also match nearly perfectly for the case of the DAS-node-dominated deployment. Another interesting observation is that spectrum and infrastructure sharing has a lower rate coverage probability for lower thresholds, which would make it less suitable for low-rate applications.

Includes members:
  Member "inter operator base station coordination in spectrum shared millimeter wave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a brief history on the theoretical analysis of dense small cell wireless networks")
  Member "hybrid spectrum sharing in mmwave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "implementation of a spatial channel model for ns 3")
  Member "quantifying the benefits of infrastructure sharing":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "modeling infrastructure sharing in mmwave networks with shared spectrum licenses")
  Member "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on optimal multi user beam alignment in millimeter wave wireless systems")
  Member "a primer on cellular network analysis using stochastic geometry":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "area spectral efficiency and sinr scaling laws in multi antenna cellular networks")
  Member "resource sharing in 5g mmwave cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "stochastic geometric coverage analysis in mmwave cellular networks with realistic channel and antenna radiation models")
  Member "investigation of prediction accuracy sensitivity and parameter stability of large scale propagation path loss models for 5g wireless communications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a millimeter wave channel simulator nyusim with spatial consistency and human blockage")
  Member "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "a hybrid model based and data driven approach to spectrum sharing in mmwave 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)