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 "distortion exponent in mimo fading channels with time varying source side information"):
  Abstract: Transmission of a Gaussian source over a time-varying multiple-input multiple-output (MIMO) channel is studied under strict delay constraints. Availability of a correlated side information at the receiver is assumed, whose quality, i.e., correlation with the source signal, also varies over time. A block-fading model is considered for the states of the time-varying channel and the time-varying side information; and perfect state information at the receiver is assumed, while the transmitter knows only the statistics. The high SNR performance, characterized by the \textit{distortion exponent}, is studied for this joint source-channel coding problem. An upper bound is derived and compared with lowers based on list decoding, hybrid digital-analog transmission, as well as multi-layer schemes which transmit successive refinements of the source, relying on progressive and superposed transmission with list decoding. The optimal distortion exponent is characterized for the single-input multiple-output (SIMO) and multiple-input single-output (MISO) scenarios by showing that the distortion exponent achieved by multi-layer superpositon encoding with joint decoding meets the proposed upper bound. In the MIMO scenario, the optimal distortion exponent is characterized in the low bandwidth ratio regime, and it is shown that the multi-layer superposition encoding performs very close to the upper bound in the high bandwidth expansion regime.

Includes members:
  Member "joint source channel coding with time varying channel and side information":
    also connected through other hyperedges:
      (none)
  Member "distortion outage probability in mimo block fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on estimation error outage for scalar gauss markov signals sent over fading channels")
  Member "distortion exponent in mimo channels with feedback":
    also connected through other hyperedges:
      (none)
  Member "distortion minimization in gaussian layered broadcast coding with successive refinement":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "layered coding for energy harvesting communication without csit")
  Member "joint source channel coding with side information using hybrid digital analog codes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "minimum energy analysis for robust gaussian joint source channel coding with a square law profile")
  Member "on the distortion snr exponent of some layered transmission schemes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "non parametric message important measure storage code design and transmission planning for big data")
  Member "joint source channel codes for mimo block fading channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deepjscc f deep joint source channel coding of images 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)