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: "dependence balance based outer bounds for gaussian networks with cooperation and feedback"
  Abstract: We obtain new outer bounds on the capacity regions of the two-user multiple access channel with generalized feedback (MAC-GF) and the two-user interference channel with generalized feedback (IC-GF). These outer bounds are based on the idea of dependence balance which was proposed by Hekstra and Willems. To illustrate the usefulness of our outer bounds, we investigate three different channel models. We first consider a Gaussian MAC with noisy feedback (MAC-NF), where transmitter k, k = 1, 2, receives a feedback Y(Fk), which is the channel output Y corrupted with additive white Gaussian noise Zk. For this channel model, the cut-set outer bound is not sensitive to the feedback noise variances. We demonstrate that our outer bound improves upon the cut-set bound for all nonzero values of the feedback noise variances. Moreover, in the limit as σ(Zk)2 → ∞, k = 1, 2, our outer bound collapses to the capacity region of the Gaussian MAC without feedback. Secondly, we investigate a Gaussian MAC with user-cooperation (MAC-UC), where each transmitter receives an additive white Gaussian noise corrupted version of the channel input of the other transmitter. For this channel model, the cut-set bound is sensitive to the cooperation noises, but not sensitive enough. For all nonzero values of cooperation noise variances, our outer bound strictly improves upon the cut-set outer bound. Moreover, as the cooperation noises become large, our outer bound collapses to the capacity region of the Gaussian MAC without cooperation. Thirdly, we investigate a Gaussian IC with user-cooperation (IC UC). For this channel model, the cut-set bound is again sensitive to cooperation noise variances as in the case of MAC-UC channel model, but not sensitive enough. We demonstrate that our outer bound strictly improves upon the cut-set bound for all nonzero values of cooperation noise variances.

Connected through hyperedge HE-1 (induced by source paper "joint state sensing and communication over memoryless multiple access channels"):
  with members:
    - "joint state sensing and communication optimal tradeoff for a memoryless case"
    - "joint transmission and state estimation a constrained channel coding approach"

Connected through hyperedge HE-2 (induced by source paper "sum rate capacity for symmetric gaussian multiple access channels with feedback"):
  with members:
    - "strengthening the entropy power inequality"
    - "posterior matching scheme for gaussian multiple access channel with feedback"
    - "variations on a theme by schalkwijk and kailath"
    - "outer bounds for multiple access channels with feedback using dependence balance"
    - "optimal feedback communication via posterior matching"
    - "on the gaussian mac with imperfect feedback"

Connected through hyperedge HE-3 (induced by source paper "approximate capacity of the gaussian interference channel with noisy channel output feedback"):
  with members:
    - "noisy channel output feedback capacity of the linear deterministic interference channel"
    - "capacity of all nine models of channel output feedback for the two user interference channel"
    - "perfect output feedback in the two user decentralized interference channel"
    - "an outer bound for the memoryless two user interference channel with general cooperation"
    - "feedback capacity of the gaussian interference channel to within 2 bits"
    - "the two user gaussian interference channel a deterministic view"
    - "gaussian interference channel capacity to within one bit"

Connected through hyperedge HE-4 (induced by source paper "interference and x networks with noisy cooperation and feedback"):
  with members:
    - "on the degrees of freedom of k user siso interference and x channels with delayed csit"
    - "degrees of freedom region of the mimo interference channel with output feedback and delayed csit"
    - "on x channels with feedback and delayed csi"
    - "the degrees of freedom region of the mimo interference channel with shannon feedback"
    - "interference alignment for the mimo interference channel with delayed local csit"
    - "the degrees of freedom region and interference alignment for the mimo interference channel with delayed csi"
    - "interference channels with destination cooperation"
    - "completely stale transmitter channel state information is still very useful"

Connected through hyperedge HE-5 (induced by source paper "capacity bounds for diamond networks with an orthogonal broadcast channel"):
  with members:
    - "generalization of mrs gerber s lemma"
    - "capacity bounds for a class of diamond networks"
    - "a new entropy power inequality for integer valued random variables"
    - "achieving the capacity of the n relay gaussian diamond network within log n bits"
    - "the gaussian multiple access diamond channel"
    - "wireless network information flow a deterministic approach"
    - "the approximate capacity of the gaussian n relay diamond network"
    - "entropy power inequality for a family of discrete random variables"

Connected through hyperedge HE-6 (induced by source paper "the two user causal cognitive interference channel novel outer bounds and constant gap result for the symmetric gaussian noise channel in weak interference"):
  with members:
    - "on the capacity of the two user gaussian causal cognitive interference channel"
    - "new outer bounds for the interference channel with unilateral source cooperation"
    - "capacity of all nine models of channel output feedback for the two user interference channel"
    - "an outer bound for the memoryless two user interference channel with general cooperation"
    - "on the capacity of interference channel with causal and noncausal generalized feedback at the cognitive transmitter"
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"

Connected through hyperedge HE-7 (induced by source paper "on the capacity of the two user gaussian causal cognitive interference channel"):
  with members:
    - "an outer bound for the memoryless two user interference channel with general cooperation"
    - "on the capacity of interference channel with causal and noncausal generalized feedback at the cognitive transmitter"
    - "experiment driven characterization of full duplex wireless systems"
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "partial decode forward binning schemes for the causal cognitive relay channels"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"
    - "feedback capacity of the gaussian interference channel to within 2 bits"

Connected through hyperedge HE-8 (induced by source paper "on the gaussian interference channel with half duplex causal cognition"):
  with members:
    - "on the capacity of the two user gaussian causal cognitive interference channel"
    - "interference channels with half duplex source cooperation"
    - "on the capacity of interference channel with causal and noncausal generalized feedback at the cognitive transmitter"
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "wireless network information flow a deterministic approach"
    - "interference channels with source cooperation"
    - "interference channels with destination cooperation"
    - "the two user gaussian interference channel a deterministic view"

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)