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: "on information rates of the fading wyner cellular model via the thouless formula for the strip"
  Abstract: We apply the theory of random Schr\"odinger operators to the analysis of multi-users communication channels similar to the Wyner model, that are characterized by short-range intra-cell broadcasting. With $H$ the channel transfer matrix, $HH^\dagger$ is a narrow-band matrix and in many aspects is similar to a random Schr\"odinger operator. We relate the per-cell sum-rate capacity of the channel to the integrated density of states of a random Schr\"odinger operator; the latter is related to the top Lyapunov exponent of a random sequence of matrices via a version of the Thouless formula. Unlike related results in classical random matrix theory, limiting results do depend on the underlying fading distributions. We also derive several bounds on the limiting per-cell sum-rate capacity, some based on the theory of random Schr\"odinger operators, and some derived from information theoretical considerations. Finally, we get explicit results in the high-SNR regime for some particular cases.

Connected through hyperedge HE-1 (induced by source paper "mutual information of wireless channels and block jacobi ergodic operators"):
  with members:
    - "performance analysis of joint radar and communication using ofdm and otfs"
    - "modulation and multiple access for 5g networks"
    - "the shannon s mutual information of a multiple antenna time and frequency dependent channel an ergodic operator approach"
    - "on certain large random hermitian jacobi matrices with applications to wireless communications"

Connected through hyperedge HE-2 (induced by source paper "capacity and power scaling laws for finite antenna mimo amplify and forward relay networks"):
  with members:
    - "asymptotic performance analysis of a k hop amplify and forward relay mimo channel"
    - "capacity approximations for gaussian relay networks"
    - "asymptotic capacity and optimal precoding in mimo multi hop relay networks"
    - "ergodic capacity analysis of amplify and forward mimo dual hop systems"
    - "diversity of mimo multihop relay channels"
    - "crystallization in large wireless networks"
    - "hierarchical cooperation achieves optimal capacity scaling in ad hoc networks"

Connected through hyperedge HE-3 (induced by source paper "applications of large random matrices in communications engineering"):
  with members:
    - "asymptotic analysis of map estimation via the replica method and applications to compressed sensing"
    - "asynchronous cdma systems with random spreading part ii design criteria"
    - "on certain large random hermitian jacobi matrices with applications to wireless communications"
    - "vector precoding for wireless mimo systems and its replica analysis"
    - "sharp bounds for optimal decoding of low density parity check codes"
    - "on slow fading non separable correlation mimo systems"
    - "analysis of cdma systems that are characterized by eigenvalue spectrum"
    - "tight bounds for ldpc and ldgm codes under map decoding"

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)