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 the distribution of mimo mutual information an in depth painleve based characterization"
  Abstract: This paper builds upon our recent work which computed the moment generating function of the multiple-input multiple-output mutual information exactly in terms of a Painleve V differential equation. By exploiting this key analytical tool, we provide an in-depth characterization of the mutual information distribution for sufficiently large (but finite) antenna numbers. In particular, we derive systematic closed-form expansions for the high-order cumulants. These results yield considerable new insight, such as providing a technical explanation as to why the well-known Gaussian approximation is quite robust to large signal-to-noise ratio for the case of unequal antenna arrays, while it deviates strongly for equal antenna arrays. In addition, by drawing upon our high-order cumulant expansions, we employ the Edgeworth expansion technique to propose a refined Gaussian approximation which is shown to give a very accurate closed-form characterization of the mutual information distribution, both around the mean and for moderate deviations into the tails (where the Gaussian approximation fails remarkably). For stronger deviations where the Edgeworth expansion becomes unwieldy, we employ the saddle point method and asymptotic integration tools to establish new analytical characterizations which are shown to be very simple and accurate. Based on these results, we also recover key well-established properties of the tail distribution, including the diversity-multiplexing-tradeoff.

Connected through hyperedge HE-1 (induced by source paper "on the exact distribution of mutual information of two user mimo mac based on quotient distribution of wishart matrices"):
  with members:
    - "the application of mimo to non orthogonal multiple access"
    - "a general mimo framework for noma downlink and uplink transmission based on signal alignment"
    - "outage probability and outage based robust beamforming for mimo interference channels with imperfect channel state information"
    - "random matrix model for nakagami hoyt fading"

Connected through hyperedge HE-2 (induced by source paper "backing off from infinity performance bounds via concentration of spectral measure for random mimo channels"):
  with members:
    - "massive mimo for next generation wireless systems"
    - "bounds on the second order coding rate of the mimo rayleigh block fading channel"
    - "shannon meets nyquist capacity of sampled gaussian channels"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "outage capacity for the optical mimo channel"
    - "network mimo with linear zero forcing beamforming large system analysis impact of channel estimation and reduced complexity scheduling"
    - "achieving massive mimo spectral efficiency with a not so large number of antennas"
    - "signal processing in large systems a new paradigm"

Connected through hyperedge HE-3 (induced by source paper "eigenvalue dynamics of a central wishart matrix with application to mimo systems"):
  with members:
    - "distribution of the largest eigenvalue for real wishart and gaussian random matrices and a simple approximation for the tracy widom distribution"
    - "massive mimo for next generation wireless systems"
    - "on the bivariate nakagami m cumulative distribution function closed form expression and applications"
    - "on the mutual information distribution of ofdm based spatial multiplexing exact variance and outage approximation"
    - "mimo multichannel beamforming ser and outage using new eigenvalue distributions of complex noncentral wishart matrices"

Connected through hyperedge HE-4 (induced by source paper "outage capacity for the optical mimo channel"):
  with members:
    - "the jacobi mimo channel"
    - "living at the edge a large deviations approach to the outage mimo capacity"

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)