human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "interference focusing for simplified optical fiber models with dispersion"
  Abstract: A discrete-time two-user interference channel model is developed that captures non-linear phenomena that arise in optical fiber communication employing wavelength-division multiplexing (WDM). The effect of non-linearity is that an amplitude variation on one carrier induces a phase variation on the other carrier. Moreover, the model captures the effect of group velocity mismatch that introduces memory in the channel. It is shown that both users can achieve the maximum pre-log factor of 1 simultaneously by using an interference focusing technique introduced in an earlier work.

Connected through hyperedge HE-1 (induced by source paper "demodulation and detection schemes for a memoryless optical wdm channel"):
  with members:
    - "information transmission using the nonlinear fourier transform part iii spectrum modulation"
    - "design of apsk constellations for coherent optical channels with nonlinear phase noise"
    - "on the per sample capacity of nondispersive optical fibers"

Connected through hyperedge HE-2 (induced by source paper "achievable rates of multidimensional rotationally invariant distributions"):
  with members:
    - "four dimensional coded modulation with bit wise decoders for future optical communications"
    - "on the per sample capacity of nondispersive optical fibers"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"

Connected through hyperedge HE-3 (induced by source paper "models and information rates for multiuser optical fiber channels with nonlinearity and dispersion"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "capacity of a nonlinear optical channel with finite memory"
    - "information transmission using the nonlinear fourier transform part ii numerical methods"
    - "information transmission using the nonlinear fourier transform part i mathematical tools"
    - "information transmission using the nonlinear fourier transform part iii spectrum modulation"
    - "on the per sample capacity of nondispersive optical fibers"
    - "interference focusing for mitigating cross phase modulation in a simplified optical fiber model"

Connected through hyperedge HE-4 (induced by source paper "information networks with in block memory"):
  with members:
    - "wireless network information flow a deterministic approach"
    - "slepian wolf coding over cooperative relay networks"
    - "precoding for the awgn channel with discrete interference"

Connected through hyperedge HE-5 (induced by source paper "multi sample receivers increase information rates for wiener phase noise channels"):
  with members:
    - "on wiener phase noise channels at high signal to noise ratio"

Question: Please tell me which class the center node 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)