human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "eigenvalue dynamics of a central wishart matrix with application to mimo systems"):
  Abstract: We investigate the dynamic behavior of the stationary random process defined by a central complex Wishart matrix    ${\rm {W}}(t)$    as it varies along a certain dimension    $t$   . We characterize the second-order joint cumulative distribution function (cdf) of the largest eigenvalue, and the second-order joint cdf of the smallest eigenvalue of this matrix. We show that both cdfs can be expressed in exact closed-form in terms of a finite number of well-known special functions in the context of communication theory. As a direct application, we investigate the dynamic behavior of the parallel channels associated with multiple-input multiple-output (MIMO) systems in the presence of Rayleigh fading. Studying the complex random matrix that defines the MIMO channel, we characterize the second-order joint cdf of the signal-to-noise ratio (SNR) for the best and worst channels. We use these results to study the rate of change of MIMO parallel channels, using different performance metrics. For a given value of the MIMO channel correlation coefficient, we observe how the SNR associated with the best parallel channel changes slower than the SNR of the worst channel. This different dynamic behavior is much more appreciable when the number of transmit (   $N_{T}$   ) and receive (   $N_{R}$   ) antennas is similar. However, as    $N_{T}$    is increased while keeping    $N_{R}$    fixed, we see how the best and worst channels tend to have a similar rate of change.

Includes members:
  Member "distribution of the largest eigenvalue for real wishart and gaussian random matrices and a simple approximation for the tracy widom distribution":
    also connected through other hyperedges:
      (none)
  Member "massive mimo for next generation wireless systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint power control and lsfd for wireless powered cell free massive mimo")
  Member "on the bivariate nakagami m cumulative distribution function closed form expression and applications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "asymptotic outage analysis of harq ir over time correlated nakagami m fading channels")
  Member "on the distribution of mimo mutual information an in depth painleve based characterization":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the exact distribution of mutual information of two user mimo mac based on quotient distribution of wishart matrices")
  Member "on the mutual information distribution of ofdm based spatial multiplexing exact variance and outage approximation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "delay performance of miso wireless communications")
  Member "mimo multichannel beamforming ser and outage using new eigenvalue distributions of complex noncentral wishart matrices":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the exact and approximate eigenvalue distribution for sum of wishart matrices")

Question: Please tell me which class the source paper 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)