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 "a novel time varying coding scheme for the gaussian broadcast channel with feedback"):
  Abstract: In this paper, we generalize a coding strategy for the Gaussian broadcast channel with feedback, analyze error probabilities and achievable rate region for this coding strategy by using the iterated random function theory [1], [2], [6]. By changing some parameters in our scheme, we realize a variant of the Ozarow-Leung's code for the general two-user broadcast channel with feedback. A capacity-achieving coding scheme for the degraded broadcast channel with feedback is drawn. More interestingly, we come to a coding scheme for the symmetric Gaussian broadcast channel with feedback which achieves the same sum-rate as the LQG code [18] and strictly outperforms the Kramer code [14]. The fact that our coding scheme is a variant of the Kramer's code or time-varying posterior matching code [1] may give useful information to solve some open problems proposed in [19], [20].

Includes members:
  Member "lqg control approach to gaussian broadcast channels with feedback":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "youla coding and computation of gaussian feedback capacity")
  Member "optimal feedback communication via posterior matching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "feedback channel communication with low precision arithmetic")
  Member "the pre log of gaussian broadcast with feedback can be two":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "posterior matching for gaussian broadcast channels with feedback")

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)