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: "the gaussian channel with noisy feedback near capacity performance via simple interaction"
  Abstract: Consider a pair of terminals connected by two independent additive white Gaussian noise channels, and limited by individual power constraints. The first terminal would like to reliably send information to the second terminal, within a given error probability. We construct an explicit interactive scheme consisting of only (non-linear) scalar operations, by endowing the Schalkwijk-Kailath noiseless feedback scheme with modulo arithmetic. Our scheme achieves a communication rate close to the Shannon limit, in a small number of rounds. For example, for an error probability of $10^{-6}$, if the Signal to Noise Ratio ($\mathrm{SNR}$) of the feedback channel exceeds the $\mathrm{SNR}$ of the forward channel by $20\mathrm{dB}$, our scheme operates $0.8\mathrm{dB}$ from the Shannon limit with only $19$ rounds of interaction. In comparison, attaining the same performance using state of the art Forward Error Correction (FEC) codes requires two orders of magnitude increase in delay and complexity. On the other extreme, a minimal delay uncoded system with the same error probability is bounded away by $9\mathrm{dB}$ from the Shannon limit.

Connected through hyperedge HE-1 (induced by source paper "multi rate control over awgn channels via analog joint source channel coding"):
  with members:
    - "almost practical tree codes"
    - "rate cost tradeoffs in control"
    - "on zero delay source channel coding"
    - "error correcting codes for distributed control"
    - "analog matching of colored sources to colored channels"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"

Connected through hyperedge HE-2 (induced by source paper "interactive schemes for the awgn channel with noisy feedback"):
  with members:
    - "the gaussian channel with noisy feedback improving reliability via interaction"
    - "gaussian channel with noisy feedback and peak energy constraint"
    - "variations on a theme by schalkwijk and kailath"
    - "error exponents for the gaussian channel with active noisy feedback"
    - "optimal feedback communication via posterior matching"
    - "concatenated coding for the awgn channel with noisy feedback"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"

Connected through hyperedge HE-3 (induced by source paper "the awgn bc with mac feedback a reduction to noiseless feedback via interaction"):
  with members:
    - "the gaussian channel with noisy feedback improving reliability via interaction"
    - "mimo mac bc duality with linear feedback coding schemes"
    - "an achievable rate region for the broadcast channel with feedback"
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "on the capacity of the discrete memoryless broadcast channel with feedback"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"

Connected through hyperedge HE-4 (induced by source paper "performance analysis and optimal filter design for sigma delta modulation via duality with dpcm"):
  with members:
    - "interactive schemes for the awgn channel with noisy feedback"
    - "precoded integer forcing universally achieves the mimo capacity to within a constant gap"
    - "improved upper bounds to the causal quadratic rate distortion function for gaussian stationary sources"
    - "achieving the gaussian rate distortion function by prediction"
    - "multiple description coding by dithered delta sigma quantization"

Connected through hyperedge HE-5 (induced by source paper "the gaussian channel with noisy feedback improving reliability via interaction"):
  with members:
    - "error exponents for the gaussian channel with active noisy feedback"
    - "optimal feedback communication via posterior matching"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"

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)