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 "nonlinear frequency division multiplexing"):
  Abstract: Two signal multiplexing strategies for multi-user optical fiber communication are considered: Wavelength-division multiplexing (WDM) and nonlinear frequency-division multiplexing (NFDM), based on the nonlinear Fourier transform (NFT). The inverse NFT is implemented using an approach that is dual of the forward NFT and does not require solving integral equations. In contrast to prior work where NFDM is applied to single-user channels or combined with WDM, in this paper users' signals are multiplexed in the nonlinear Fourier domain. Furthermore, each user now sends a sequence of symbols. NFDM orthogonalizes the nonlinear Schr\"odinger equation in a generalized frequency and a generalized time. Thus all degrees-of-freedom are (deterministically) independent. A data rate of 10.5 bits per complex degree-of-freedom is achieved in a 15-user NFDM with $60$ GHz overall bandwidth at average input power $\mathcal P=-0.33$ dBm. Data rate in a comparable 15-user WDM with the same bandwidth and power is 5.26 bits per complex degree-of-freedom. The ratio of the spectral efficiency of NFDM and WDM is 2.23, taking into account bandwidth and time duration of signals at channel input and output. Thus, as a result of nonlinear multiplexing of users' signals, an NFDM spectral efficiency higher than the corresponding WDM spectral efficiency is demonstrated at high input power.

Includes members:
  Member "the kolmogorov zakharov model for optical fiber communication":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "linear and nonlinear frequency division multiplexing")
  Member "digital backpropagation in the nonlinear fourier domain":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "linear and nonlinear frequency division multiplexing")
  Member "experimental demonstration of nonlinear frequency division multiplexed transmission":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "efficient precoding scheme for dual polarization multi soliton spectral amplitude modulation")
  Member "information transmission using the nonlinear fourier transform part ii numerical methods":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "polarization division multiplexing based on the nonlinear fourier transform")
  Member "information transmission using the nonlinear fourier transform part i mathematical tools":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient nonlinear fourier transform algorithms of order four on equispaced grid")
  Member "information transmission using the nonlinear fourier transform part iii spectrum modulation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a signal space distance measure for nondispersive optical fiber")
  Member "on the achievable communication rates of generalized soliton transmission systems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "linear and nonlinear frequency division multiplexing")

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)