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 "exploring and experimenting with shaping designs for next generation optical communications"):
  Abstract: A class of circular 64-QAM that combines “geometric” and “probabilistic” shaping aspects is presented. It is compared to square 64-QAM in back-to-back, single-channel, and wavelength division multiplexing (WDM) transmission experiments. First, for the linear additive white Gaussian noise channel model, it permits to operate close to the Shannon limits for a wide range of signal-to-noise ratios. Second, WDM simulations over several hundreds of kilometers show that the obtained signal-to-noise ratios are equivalent to–or slightly exceed–those of probabilistic shaped 64-QAM. Third, for real-life validation purpose, an experimental comparison with unshaped 64-QAM is performed where 28% distance gains are recorded when using 19 channels at 54.2 GBd. This again is in line–or slightly exceeds–the gains generally obtained with probabilistic shaping. Depending upon implementation requirements (core forward-error correcting scheme for example), the investigated modulation schemes may be key alternatives for next-generation optical systems.

Includes members:
  Member "experimental comparison of probabilistic shaping methods for unrepeated fiber transmission":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "introducing enumerative sphere shaping for optical communication systems with short blocklengths")
  Member "golden angle modulation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "golden angle modulation approaching the awgn capacity")
  Member "impact of 4d channel distribution on the achievable rates in coherent optical communication experiments":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "nonlinearity mitigation in wdm systems models strategies and achievable rates")
  Member "on probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "analysis and optimization of tail biting spatially coupled protograph ldpc codes for bicm id systems")
  Member "constellation shaping for wdm systems using 256qam 1024qam with probabilistic optimization":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "introducing enumerative sphere shaping for optical communication systems with short blocklengths")
  Member "experimental demonstration of capacity increase and rate adaptation by probabilistically shaped 64 qam":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "finite precision implementation of arithmetic coding based distribution matchers")
  Member "ldpc coded modulation with probabilistic shaping for optical fiber systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "experimental comparison of probabilistic shaping methods for unrepeated fiber transmission")
  Member "achieving awgn channel capacity with lattice gaussian coding":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "well rounded lattices towards optimal coset codes for gaussian and fading wiretap channels")

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)