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: "schur complement based analysis of mimo zero forcing for rician fading"
  Abstract: For multiple-input/multiple-output (MIMO) spatial multiplexing with zero-forcing detection (ZF), signal-to-noise ratio (SNR) analysis for Rician fading involves the cumbersome noncentral-Wishart distribution (NCWD) of the transmit sample-correlation (Gramian) matrix. An \textsl{approximation} with a \textsl{virtual} CWD previously yielded for the ZF SNR an approximate (virtual) Gamma distribution. However, analytical conditions qualifying the accuracy of the SNR-distribution approximation were unknown. Therefore, we have been attempting to exactly characterize ZF SNR for Rician fading. Our previous attempts succeeded only for the sole Rician-fading stream under Rician--Rayleigh fading, by writing it as scalar Schur complement (SC) in the Gramian. Herein, we pursue a more general, matrix-SC-based analysis to characterize SNRs when several streams may undergo Rician fading. On one hand, for full-Rician fading, the SC distribution is found to be exactly a CWD if and only if a channel-mean--correlation \textsl{condition} holds. Interestingly, this CWD then coincides with the \textsl{virtual} CWD ensuing from the \textsl{approximation}. Thus, under the \textsl{condition}, the actual and virtual SNR-distributions coincide. On the other hand, for Rician--Rayleigh fading, the matrix-SC distribution is characterized in terms of determinant of matrix with elementary-function entries, which also yields a new characterization of the ZF SNR. Average error probability results validate our analysis vs.~simulation.

Connected through hyperedge HE-1 (induced by source paper "closed form performance analysis of linear mimo receivers in general fading scenarios"):
  with members:
    - "performance of massive mimo uplink with zero forcing receivers under delayed channels"
    - "on the outage capacity of orthogonal space time block codes over multi cluster scattering mimo channels"
    - "exact mimo zero forcing detection analysis for transmit correlated rician fading"
    - "asymptotic performance of linear receivers in mimo fading channels"

Connected through hyperedge HE-2 (induced by source paper "distributed spatial multiplexing systems with hardware impairments and imperfect channel estimation under rank 1 rician fading channels"):
  with members:
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "exact sf zf analysis and computer algebra aided evaluation in rank 1 los rician fading"
    - "achievable rate of rician large scale mimo channels with transceiver hardware impairments"
    - "eigenvalue dynamics of a central wishart matrix with application to mimo systems"
    - "power scaling of uplink massive mimo systems with arbitrary rank channel means"
    - "directional cell discovery in millimeter wave cellular networks"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"

Connected through hyperedge HE-3 (induced by source paper "exact sf zf analysis and computer algebra aided evaluation in rank 1 los rician fading"):
  with members:
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "massive mimo ten myths and one critical question"
    - "mimo zero forcing performance evaluation using the holonomic gradient method"
    - "power scaling of uplink massive mimo systems with arbitrary rank channel means"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "exact mimo zero forcing detection analysis for transmit correlated rician fading"
    - "interactive interference alignment"

Connected through hyperedge HE-4 (induced by source paper "mimo zero forcing performance evaluation using the holonomic gradient method"):
  with members:
    - "performance analysis of macrodiversity mimo systems with mmse and zf receivers in flat rayleigh fading"
    - "exact mimo zero forcing detection analysis for transmit correlated rician fading"
    - "diversity of mmse mimo receivers"

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)