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: "ldpc coded modulation with probabilistic shaping for optical fiber systems"
  Abstract: An LDPC coded modulation scheme with probabilistic shaping, optimized interleavers and noniterative demapping is proposed. Full-field simulations show an increase in transmission distance by 8% compared to uniformly distributed input.

Connected through hyperedge HE-1 (induced by source paper "exploring and experimenting with shaping designs for next generation optical communications"):
  with members:
    - "experimental comparison of probabilistic shaping methods for unrepeated fiber transmission"
    - "golden angle modulation"
    - "impact of 4d channel distribution on the achievable rates in coherent optical communication experiments"
    - "on probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel"
    - "constellation shaping for wdm systems using 256qam 1024qam with probabilistic optimization"
    - "experimental demonstration of capacity increase and rate adaptation by probabilistically shaped 64 qam"
    - "achieving awgn channel capacity with lattice gaussian coding"

Connected through hyperedge HE-2 (induced by source paper "experimental comparison of probabilistic shaping methods for unrepeated fiber transmission"):
  with members:
    - "sensitivity gains by mismatched probabilistic shaping for optical communication systems"
    - "impact of 4d channel distribution on the achievable rates in coherent optical communication experiments"
    - "on probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel"
    - "constellation shaping for wdm systems using 256qam 1024qam with probabilistic optimization"
    - "constant composition distribution matching"
    - "four dimensional coded modulation with bit wise decoders for future optical communications"
    - "a pragmatic coded modulation scheme for high spectral efficiency fiber optic communications"

Connected through hyperedge HE-3 (induced by source paper "on probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel"):
  with members:
    - "sensitivity gains by mismatched probabilistic shaping for optical communication systems"
    - "impact of 4d channel distribution on the achievable rates in coherent optical communication experiments"
    - "constellation shaping for wdm systems using 256qam 1024qam with probabilistic optimization"
    - "experimental demonstration of capacity increase and rate adaptation by probabilistically shaped 64 qam"
    - "on achievable rates for long haul fiber optic communications"
    - "constant composition distribution matching"
    - "four dimensional coded modulation with bit wise decoders for future optical communications"
    - "achievable rates for shaped bit metric decoding"

Connected through hyperedge HE-4 (induced by source paper "sensitivity gains by mismatched probabilistic shaping for optical communication systems"):
  with members:
    - "experimental demonstration of capacity increase and rate adaptation by probabilistically shaped 64 qam"
    - "on achievable rates for long haul fiber optic communications"
    - "constant composition distribution matching"
    - "achievable rates for shaped bit metric decoding"
    - "a pragmatic coded modulation scheme for high spectral efficiency fiber optic communications"

Connected through hyperedge HE-5 (induced by source paper "constellation shaping for wdm systems using 256qam 1024qam with probabilistic optimization"):
  with members:
    - "impact of 4d channel distribution on the achievable rates in coherent optical communication experiments"
    - "experimental demonstration of capacity increase and rate adaptation by probabilistically shaped 64 qam"
    - "a pragmatic coded modulation scheme for high spectral efficiency fiber optic communications"
    - "capacity achieving modulation for fixed constellations with average power constraint"

Connected through hyperedge HE-6 (induced by source paper "experimental demonstration of capacity increase and rate adaptation by probabilistically shaped 64 qam"):
  with members:
    - "constant composition distribution matching"
    - "bandwidth efficient and rate matched low density parity check coded modulation"
    - "a pragmatic coded modulation scheme for high spectral efficiency fiber optic communications"

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)