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 "concatenated coding using linear schemes for gaussian broadcast channels with noisy channel output feedback"):
  Abstract: Linear coding schemes have been the main choice of coding for the additive white Gaussian noise broadcast channel (AWGN-BC) with noiseless feedback in the literature. The achievable rate regions of these schemes go well beyond the capacity region of the AWGN-BC without feedback. In this paper, a concatenated coding design for the    $K$  -user AWGN-BC with noisy feedback is proposed that relies on linear schemes as inner codes to achieve rate tuples outside the no-feedback capacity region. The boundary of an achievable rate region of purely linear coding schemes for noiseless feedback is shown to be arbitrarily closely approached by the concatenated coding scheme for sufficiently small feedback noise levels. Then, a linear coding scheme for the    $K$  -user symmetric AWGN-BC with noisy feedback is presented and optimized for use in the concatenated coding scheme. For noiseless feedback, the presented linear coding scheme achieves the optimal sum-rate of linear-feedback coding. An upper bound on the inner code blocklength needed to achieve a sum-rate above no-feedback sum-capacity is derived.

Includes members:
  Member "the awgn bc with mac feedback a reduction to noiseless feedback via interaction":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "coding schemes with rate limited feedback that improve over the nofeedback capacity for a large class of broadcast channels")
  Member "on the noisy feedback capacity of gaussian broadcast channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "coding schemes with rate limited feedback that improve over the nofeedback capacity for a large class of broadcast channels")
  Member "mimo mac bc duality with linear feedback coding schemes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback")
  Member "an achievable rate region for the broadcast channel with feedback":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "exploiting location information to enhance throughput in downlink v2i systems")
  Member "capacity of all nine models of channel output feedback for the two user interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "on the symmetric k user interference channels with limited feedback")
  Member "using channel output feedback to increase throughput in hybrid arq":
    also connected through other hyperedges:
      (none)
  Member "lqg control approach to gaussian broadcast channels with feedback":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "youla coding and computation of gaussian feedback capacity")
  Member "feedback capacity of the gaussian interference channel to within 2 bits":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "capacity limits of full duplex cellular network")

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)