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: "living at the edge a large deviations approach to the outage mimo capacity"
  Abstract: A large deviations approach is introduced, which calculates the probability density and outage probability of the multiple-input multiple-output (MIMO) mutual information, and is valid for large antenna numbers N . In contrast to previous asymptotic methods that only focused on the distribution close to its most probable value, this methodology obtains the full distribution, including its non-Gaussian tails. The resulting distribution interpolates between the Gaussian approximation for rates R close its mean and the asymptotic distribution for large signal-to-noise ratios (SNRs) ρ . For large enough N, this method provides the outage probability over the whole (R, ρ) parameter space. The presented analytic results agree very well with numerical simulations over a wide range of outage probabilities, even for small N. In addition, the outage probability thus obtained is more robust over a wide range of ρ and R than either the Gaussian or the large-ρ approximations, providing an attractive alternative in calculating the probability density of the MIMO mutual information. Interestingly, this method also yields the eigenvalue density constrained in the subset where the mutual information is fixed to R for given ρ. Quite remarkably, this eigenvalue density has the form of the Marcenko-Pastur distribution with square-root singularities.

Connected through hyperedge HE-1 (induced by source paper "gallager bound for mimo channels large n asymptotics"):
  with members:
    - "outage capacity for the optical mimo channel"
    - "moderate deviations in channel coding"
    - "information spectrum approach to second order coding rate in channel coding"
    - "gallager s exponent for mimo channels a reliability rate tradeoff"

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"
    - "on the distribution of mimo mutual information an in depth painleve based characterization"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "outage capacity of rayleigh product channels a free probability approach"):
  with members:
    - "from multi keyholes to measure of correlation and power imbalance in mimo channels outage capacity analysis"
    - "asymptotic capacity and optimal precoding in mimo multi hop relay networks"
    - "asymptotic analysis of double scattering channels"
    - "finite snr diversity multiplexing tradeoff via asymptotic analysis of large mimo systems"
    - "diversity multiplexing tradeoff of double scattering mimo channels"
    - "capacity and character expansions moment generating function and other exact results for mimo correlated channels"
    - "approximately universal codes over slow fading channels"

Connected through hyperedge HE-4 (induced by source paper "minimax capacity loss under sub nyquist universal sampling"):
  with members:
    - "distortion rate function of sub nyquist sampled gaussian sources"
    - "sampling rate distortion"
    - "backing off from infinity performance bounds via concentration of spectral measure for random mimo channels"
    - "channel capacity under sub nyquist nonuniform sampling"
    - "shannon meets nyquist capacity of sampled gaussian channels"
    - "information theoretically optimal compressed sensing via spatial coupling and approximate message passing"
    - "multichannel sampling of pulse streams at the rate of innovation"
    - "optimal phase transitions in compressed sensing"

Connected through hyperedge HE-5 (induced by source paper "on the distribution of mimo mutual information an in depth painleve based characterization"):
  with members:
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "open loop spatial multiplexing and diversity communications in ad hoc networks"
    - "energy and spectral efficiency of very large multiuser mimo systems"
    - "robust beamforming for security in mimo wiretap channels with imperfect csi"
    - "ergodic capacity analysis of amplify and forward mimo dual hop systems"
    - "transmission capacity of ad hoc networks with spatial diversity"
    - "the secrecy capacity of the mimo wiretap channel"
    - "on the capacity of doubly correlated mimo channels"

Connected through hyperedge HE-6 (induced by source paper "on the minimax capacity loss under sub nyquist universal sampling"):
  with members:
    - "sampling rate distortion"
    - "backing off from infinity performance bounds via concentration of spectral measure for random mimo channels"
    - "channel capacity under sub nyquist nonuniform sampling"
    - "shannon meets nyquist capacity of sampled gaussian channels"
    - "from theory to practice sub nyquist sampling of sparse wideband analog signals"
    - "increased capacity per unit cost by oversampling"
    - "condition numbers of gaussian random matrices"

Connected through hyperedge HE-7 (induced by source paper "large deviation approach to the outage optical mimo capacity"):
  with members:
    - "the jacobi mimo channel"
    - "random beamforming over quasi static and fading channels a deterministic equivalent approach"

Connected through hyperedge HE-8 (induced by source paper "outage capacity for the optical mimo channel"):
  with members:
    - "on the distribution of mimo mutual information an in depth painleve based characterization"
    - "the jacobi mimo channel"

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)