human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "analysis of heterogeneous cellular networks under frequency diversity and interference correlation"
  Abstract: Analyzing heterogeneous cellular networks (HCNs) has become increasingly complex, particularly due to irregular base station locations, massive deployment of small cells, and flexible resource allocation. The latter is usually not captured by existing stochastic models for analytical tractability. In this work, we develop a more realistic stochastic model for a generic    $K$  -tier HCN, where users are served in the downlink under frequency diversity. We derive the rate coverage probability for this case, taking into account the interference correlation across different parts of the allocated spectrum. Our results indicate that ignoring this type of correlation may considerably overestimate the offered date rate. Furthermore, the gain of spectrum diversification is significant, particularly at low to moderate target data rates.

Connected through hyperedge HE-1 (induced by source paper "fundamentals of modeling finite wireless networks using binomial point process"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "fundamentals of cluster centric content placement in cache enabled device to device networks"
    - "optimal geographic caching in finite wireless networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "performance analysis of arbitrarily shaped underlay cognitive networks effects of secondary user activity protocols"
    - "optimal geographic caching in cellular networks"
    - "analyzing the impact of access point density on the performance of finite area networks"
    - "analysis of millimeter wave networked wearables in crowded environments"

Connected through hyperedge HE-2 (induced by source paper "analysis of joint transmit receive diversity in downlink mimo heterogeneous cellular networks"):
  with members:
    - "effect of spatial interference correlation on the performance of maximum ratio combining"
    - "what will 5g be"
    - "a stochastic geometry analysis of inter cell interference coordination and intra cell diversity"
    - "dual branch mrc receivers under spatial interference correlation and nakagami fading"
    - "throughput and energy efficiency analysis of small cell networks with multi antenna base stations"
    - "diversity polynomials for the analysis of temporal correlations in wireless networks"
    - "asymptotic data rates of receive diversity systems with mmse estimation and spatially correlated interferers"
    - "downlink mimo hetnets modeling ordering results and performance analysis"

Question: Please tell me which class the center node 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)