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 "capacity bounds for discrete time amplitude constrained additive white gaussian noise channels"):
  Abstract: The capacity-achieving input distribution of the discrete-time, additive white Gaussian noise (AWGN) channel with an amplitude constraint is discrete and seems difficult to characterize explicitly. A dual capacity expression is used to derive analytic capacity upper bounds for scalar and vector AWGN channels. The scalar bound improves on McKellips' bound and is within 0.1 bits of capacity for all signal-to-noise ratios (SNRs). The two-dimensional bound is within 0.15 bits of capacity provably up to 4.5 dB, and numerical evidence suggests a similar gap for all SNRs.

Includes members:
  Member "an upper bound for the capacity of amplitude constrained scalar awgn channel":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "computable upper bounds on the capacity of finite state channels")
  Member "dual capacity upper bounds for noisy runlength constrained channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "computable lower bounds for capacities of input driven finite state channels")
  Member "peak to average power ratio of good codes for gaussian channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the capacity of the peak power constrained vector gaussian channel an estimation theoretic perspective")
  Member "on the monotonicity log concavity and tight bounds of the generalized marcum and nuttall q functions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "utility aware optimal resource allocation protocol for uav assisted small cells with heterogeneous coverage demands")
  Member "on the capacity of free space optical intensity channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "throughput maximization of mixed fso rf uav aided mobile relaying with a buffer")

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)