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 "an achievable rate region for the broadcast channel with feedback"):
  Abstract: A single-letter achievable rate region is proposed for the two-receiver discrete memoryless broadcast channel with generalized feedback. The coding strategy involves block-Markov superposition coding using Marton's coding scheme for the broadcast channel without feedback as the starting point. If the message rates in the Marton scheme are too high to be decoded at the end of a block, each receiver is left with a list of messages compatible with its output. Resolution information is sent in the following block to enable each receiver to resolve its list. The key observation is that the resolution information of the first receiver is correlated with that of the second. This correlated information is efficiently transmitted via joint source-channel coding, using ideas similar to the Han-Costa coding scheme. Using the result, we obtain an achievable rate region for the stochastically degraded additive white Gaussian noise broadcast channel with noisy feedback from only one receiver. It is shown that this region is strictly larger than the no-feedback capacity region.

Includes members:
  Member "feedback can double the prelog of some memoryless gaussian networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "insufficiency of linear feedback schemes in gaussian broadcast channels with common message")
  Member "on the capacity of the discrete memoryless broadcast channel with feedback":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting location information to enhance throughput in downlink v2i systems")
  Member "correlated sources over broadcast channels":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "outer bounds on the admissible source region for broadcast channels with correlated sources")
  Member "comments on broadcast channels with arbitrarily correlated sources":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "outer bounds on the admissible source region for broadcast channels with correlated sources")
  Member "approximate characterizations for the gaussian source broadcast distortion region":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distortion bounds for source broadcast over degraded channel")
  Member "a new achievable rate region for the discrete memoryless multiple access channel with noiseless feedback":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on optimal causal coding of partially observed markov sources in single and multi terminal settings")
  Member "broadcasting correlated gaussians":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "short packet downlink transmission with non orthogonal multiple access")
  Member "a graph based framework for transmission of correlated sources over broadcast channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "new sufficient conditions for multiple access channel with correlated sources")

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)