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: "interference channel with generalized feedback a k a with source cooperation part i achievable region"
  Abstract: An Interference Channel with Generalized Feedback (IFC-GF) is a model for a wireless network where several source-destination pairs compete for the same channel resources, and where the sources have the ability to sense the current channel activity. The signal overheard from the channel provides information about the activity of the other users, and thus furnishes the basis for cooperation. In this two-part paper we study achievable strategies and outer bounds for a general IFC-GF with two source-destination pairs. We then evaluate the proposed regions for the Gaussian channel. Part I: achievable region. We propose that the generalized feedback is used to gain knowledge about the message sent by other user and then exploited in two ways: (a) to {\em relay} the messages that can be decoded at both destinations--thus realizing the gains of beam-forming of a distributed multi-antenna system--and (b) to {\em hide} the messages that can not be decoded at the non-intended destination--thus leveraging the interference "pre-cancellation" property of dirty-paper-type coding. We show that our achievable region generalizes several known achievable regions for IFC-GF and that it reduces to known achievable regions for some of the channels subsumed by the IFC-GF model.

Connected through hyperedge HE-1 (induced by source paper "a new sum rate outer bound for interference channels with three source destination pairs"):
  with members:
    - "on achievability of gaussian interference channel capacity to within one bit"
    - "interference channels with source cooperation"
    - "k user interference channels general outer bound and sum capacity for certain gaussian channels"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "sum capacity of k user gaussian degraded interference channels"
    - "outer bounds for the interference channel with a cognitive relay"
    - "lecture notes on network information theory"
    - "new inner and outer bounds for the discrete memoryless cognitive interference channel and some capacity results"

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)