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: "random vandermonde matrices part ii applications"
  Abstract: In this paper, we review some potential applications of random Vandermonde matrices in the field of signal process ing and wireless communications. Using asymptotic results based on the theory of random Vandermonde matrices, we show through several application examples, namely deconvolution, wireless capacity analysis and sampling theory, the research potential of this theory. Quite surprisingly, in nearly all the cases, the asymptotic results turn out to be valid for dimensions which are of interest for the community. The simulations confirm th at random matrix theory/free probability theory are once more a unique tool to better understand the behavior of the eigenvalues of matrices.

Connected through hyperedge HE-1 (induced by source paper "massive mimo testbed implementation and initial results in system model validation"):
  with members:
    - "a wireless channel sounding system for rapid propagation measurements"
    - "five disruptive technology directions for 5g"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "random vandermonde matrices part i fundamental results"

Connected through hyperedge HE-2 (induced by source paper "on the d dimensional quasi equally spaced sampling"):
  with members:
    - "performance of linear field reconstruction techniques with noise and uncertain sensor locations"
    - "reconstruction of multidimensional signals from irregular noisy samples"
    - "random vandermonde matrices part i fundamental results"
    - "free deconvolution for signal processing applications"

Connected through hyperedge HE-3 (induced by source paper "random vandermonde matrices part i fundamental results"):
  with members:
    - "channel capacity estimation using free probability theory"
    - "free deconvolution for signal processing applications"

Connected through hyperedge HE-4 (induced by source paper "vandermonde frequency division multiplexing for cognitive radio"):
  with members:
    - "random vandermonde matrices part i fundamental results"

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)