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 "approximate capacity of fast fading interference channels with no instantaneous csit"):
  Abstract: We develop a characterization of fading models, which assigns a number called logarithmic Jensen's gap to a given fading model. We show that as a consequence of a finite logarithmic Jensen's gap, approximate capacity region can be obtained for fast fading interference channels (FF-IC) for several scenarios. We illustrate three instances where a constant capacity gap can be obtained as a function of the logarithmic Jensen's gap. Firstly for an FF-IC with neither feedback nor instantaneous channel state information at transmitter (CSIT), if the fading distribution has finite logarithmic Jensen's gap, we show that a rate-splitting scheme based on average interference-to-noise ratio (inr) can achieve its approximate capacity. Secondly we show that a similar scheme can achieve the approximate capacity of FF-IC with feedback and delayed CSIT, if the fading distribution has finite logarithmic Jensen's gap. Thirdly, when this condition holds, we show that point-to-point codes can achieve approximate capacity for a class of FF-IC with feedback. We prove that the logarithmic Jensen's gap is finite for common fading models, including Rayleigh and Nakagami fading, thereby obtaining the approximate capacity region of FF-IC with these fading models. For Rayleigh fading the capacity gap is obtained as 1.83 bits per channel use for non-feedback case and 2.83 bits per channel use for feedback case. Our analysis also yields approximate capacity results for fading 2-tap ISI channel and fading interference multiple access channel as corollaries.

Includes members:
  Member "cooperation for interference management a gdof perspective":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fundamental limits on delivery time in cloud and cache aided heterogeneous networks")
  Member "capacity bounds for a class of interference relay channels":
    also connected through other hyperedges:
      (none)
  Member "capacity results for binary fading interference channels with delayed csit":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "capacity results for intermittent x channels with delayed channel state feedback")
  Member "ergodic interference alignment with delayed feedback":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "secure retrospective interference alignment")
  Member "degrees of freedom region of the mimo interference channel with output feedback and delayed csit":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mixed timescale online phy caching for dual mode mimo cooperative networks")
  Member "the capacity region of the wireless ergodic fading interference channel with partial csit to within one bit":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "novel outer bounds and capacity results for the interference channel with conferencing receivers")
  Member "wireless network information flow a deterministic approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "best relay selection in gaussian half duplex diamond networks")
  Member "ergodic fading interference channels sum capacity and separability":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "interference regime enforcing rate maximization for non orthogonal multiple access noma")

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)