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: "joint source and channel coding for mimo systems is it better to be robust or quick"
  Abstract: A framework is developed for optimizing the tradeoff between diversity, multiplexing, and delay in multiple-input multiple-output (MIMO) systems to minimize end-to-end distortion. The goal is to find the optimal balance between the increased data rate provided by antenna multiplexing, the reduction in transmission errors provided by antenna diversity and automatic repeat request (ARQ), and the delay introduced by ARQ. First, closed-form analytical results are developed to minimize end-to-end distortion of a vector quantizer concatenated with a space-time MIMO channel code in the high SNR regime. The minimization determines the optimal point on the diversity-multiplexing tradeoff curve. For large but finite SNR this optimal point is found via convex optimization, which is illustrated with an example of a practical joint source-channel code design. It is then shown that for MIMO systems with ARQ retransmission, sources without a delay constraint have distortion minimized by maximizing the ARQ window size. This results in a new multiplexing-diversity tradeoff region enhanced by ARQ. However, under a source delay constraint the problem formulation changes to account for delay distortion associated with random message arrival and random ARQ completion times. In this case, the simplifications associated with a high SNR assumption break down, and a dynamic programming formulation is required to capture the channel diversity-multiplexing tradeoff as well as the random arrival and retransmission dynamics. Results based on this formulation show that a delay-sensitive system obtains significant performance gains by adapting its operating point on the diversity-multiplexing-delay region to system dynamics.

Connected through hyperedge HE-1 (induced by source paper "joint source channel and space time coding of progressive sources in mimo systems"):
  with members:
    - "two designs of space time block codes achieving full diversity with partial interference cancellation group decoding"
    - "asymptotic performance of linear receivers in mimo fading channels"

Connected through hyperedge HE-2 (induced by source paper "delay limited source and channel coding of quasi stationary sources over block fading channels design and scaling laws"):
  with members:
    - "distortion outage probability in mimo block fading channels"
    - "on the distortion snr exponent of some layered transmission schemes"
    - "joint source channel codes for mimo block fading channels"

Connected through hyperedge HE-3 (induced by source paper "distortion outage probability in mimo block fading channels"):
  with members:
    - "joint source channel codes for mimo block fading channels"

Connected through hyperedge HE-4 (induced by source paper "diversity multiplexing delay tradeoffs in mimo multihop networks with arq"):
  with members:
    - "high snr analysis of outage limited communications with bursty and delay limited information"

Connected through hyperedge HE-5 (induced by source paper "distortion exponent in mimo channels with feedback"):
  with members:
    - "on the distortion snr exponent of some layered transmission schemes"
    - "joint source channel codes for mimo block fading channels"
    - "benefit of delay on the diversity multiplexing tradeoffs of mimo channels with partial csi"

Connected through hyperedge HE-6 (induced by source paper "high snr analysis of outage limited communications with bursty and delay limited information"):
  with members:
    - "optimal space time codes for the mimo amplify and forward cooperative channel"
    - "approximately universal codes over slow fading channels"
    - "perfect space time codes with minimum and non minimum delay for any number of antennas"

Connected through hyperedge HE-7 (induced by source paper "on optimum end to end distortion in mimo systems"):
  with members:
    - "joint source channel codes for mimo block fading channels"

Connected through hyperedge HE-8 (induced by source paper "joint source channel coding with side information using hybrid digital analog codes"):
  with members:
    - "analog matching of colored sources to colored channels"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"
    - "on the distortion snr exponent of some layered transmission schemes"
    - "superimposed coded and uncoded transmissions of a gaussian source over the gaussian 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)