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: "distortion outage probability in mimo block fading channels"
  Abstract: We study analogue source transmission over MIMO block-fading channels with receiver-only channel state information. Unlike previous work which considers the end-to-end expected distortion as a figure of merit, we study the distortion outage probability. We first consider the well known transmitter informed bound, which yields a benchmark lower bound to the distortion outage probability of any coding scheme. We next compare the results with source-channel separation. The key difference from the expected distortion approach is that if the channel code rate is chosen appropriately, source-channel separation can not only achieve the same diversity exponent, but also the same distortion outage probability as the transmitter informed lower bound.

Connected through hyperedge HE-1 (induced by source paper "distortion exponent in mimo fading channels with time varying source side information"):
  with members:
    - "joint source channel coding with time varying channel and side information"
    - "distortion exponent in mimo channels with feedback"
    - "distortion minimization in gaussian layered broadcast coding with successive refinement"
    - "joint source channel coding with side information using hybrid digital analog codes"
    - "on the distortion snr exponent of some layered transmission schemes"
    - "joint source channel codes for mimo block fading channels"

Connected through hyperedge HE-2 (induced by source paper "on estimation error outage for scalar gauss markov signals sent over fading channels"):
  with members:
    - "kalman filtering with intermittent observations weak convergence to a stationary distribution"

Connected through hyperedge HE-3 (induced by source paper "delay limited source and channel coding of quasi stationary sources over block fading channels design and scaling laws"):
  with members:
    - "on the distortion snr exponent of some layered transmission schemes"
    - "joint source and channel coding for mimo systems is it better to be robust or quick"
    - "joint source channel codes for mimo block fading channels"

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)