human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "dependence balance based outer bounds for gaussian networks with cooperation and feedback":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint state sensing and communication over memoryless multiple access channels")
  Member "interference channels with source cooperation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "gdof of interference channel with limited cooperation under finite precision csit")
  Member "new inner and outer bounds for the discrete memoryless cognitive interference channel and some capacity results":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "multi phase smart relaying and cooperative jamming in secure cognitive radio networks")
  Member "feedback capacity of the gaussian interference channel to within 1 7075 bits the symmetric case":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards an extremal network theory robust gdof gain of transmitter cooperation over tin")
  Member "capacity bounds for the gaussian interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "vector gaussian successive refinement with degraded side information")
  Member "gaussian interference channel capacity to within one bit":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "on the capacity of interference channels with one cooperating transmitter":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "cognitive radio networks an information theoretic perspective")
  Member "on the capacity of multiple access channels with state information and feedback":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on continuous time gaussian channels")

Question: Please tell me which class the source paper 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)