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: "calculation of mutual information for partially coherent gaussian channels with applications to fiber optics"
  Abstract: The mutual information between a complex-valued channel input and its complex-valued output is decomposed into four parts based on polar coordinates: an amplitude term, a phase term, and two mixed terms. Numerical results for the additive white Gaussian noise (AWGN) channel with various inputs show that, at high signal-to-noise ratio (SNR), the amplitude and phase terms dominate the mixed terms. For the AWGN channel with a Gaussian input, analytical expressions are derived for high SNR. The decomposition method is applied to partially coherent channels and a property of such channels called “spectral loss” is developed. Spectral loss occurs in nonlinear fiber-optic channels and it may be one effect that needs to be taken into account to explain the behavior of the capacity of nonlinear fiber-optic channels.

Connected through hyperedge HE-1 (induced by source paper "models and information rates for wiener phase noise channels"):
  with members:
    - "lower bound on the capacity of continuous time wiener phase noise channels"
    - "upper bound on the capacity of discrete time wiener phase noise channels"
    - "oversampling increases the pre log of noncoherent rayleigh fading channels"
    - "on continuous time white phase noise channels"
    - "phase modulation for discrete time wiener phase noise channels with oversampling at high snr"
    - "capacity bounds for mimo microwave backhaul links affected by phase noise"
    - "multi sample receivers increase information rates for wiener phase noise channels"
    - "on wiener phase noise channels at high signal to noise ratio"

Connected through hyperedge HE-2 (induced by source paper "capacity outer bound and degrees of freedom of wiener phase noise channels with oversampling"):
  with members:
    - "capacity of discrete time wiener phase noise channels to within a constant gap"
    - "models and information rates for wiener phase noise channels"
    - "on the capacity of the wiener phase noise channel bounds and capacity achieving distributions"
    - "on continuous time white phase noise channels"
    - "phase modulation for discrete time wiener phase noise channels with oversampling at high snr"
    - "multi sample receivers increase information rates for wiener phase noise channels"
    - "on wiener phase noise channels at high signal to noise ratio"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-3 (induced by source paper "autocorrelation function for dispersion free fiber channels with distributed amplification"):
  with members:
    - "capacity achieving input distributions in nondispersive optical fibers"
    - "upper bound on the capacity of a cascade of nonlinear and noisy channels"
    - "capacity bounds for discrete time amplitude constrained additive white gaussian noise channels"
    - "optimal input signal distribution and per sample mutual information for nondispersive nonlinear optical fiber channel in large snr limit"
    - "on continuous time white phase noise channels"
    - "on the per sample capacity of nondispersive optical fibers"

Connected through hyperedge HE-4 (induced by source paper "ml detection in phase noise impaired simo channels with uplink training"):
  with members:
    - "optimal detection in training assisted simo systems with phase noise impairments"
    - "capacity of simo and miso phase noise channels with common separate oscillators"
    - "uplink performance of time reversal mrc in massive mimo systems subject to phase noise"
    - "distributed massive mimo in cellular networks impact of imperfect hardware and number of oscillators"
    - "massive mimo with non ideal arbitrary arrays hardware scaling laws and circuit aware design"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "calculation of the performance of communication systems from measured oscillator phase noise"
    - "massive mimo for next generation wireless systems"

Connected through hyperedge HE-5 (induced by source paper "four dimensional coded modulation with bit wise decoders for future optical communications"):
  with members:
    - "high snr asymptotics of mutual information for discrete constellations with applications to bicm"
    - "improving soft fec performance for higher order modulations via optimized bit channel mappings"
    - "probabilistic signal shaping for bit metric decoding"
    - "design of apsk constellations for coherent optical channels with nonlinear phase noise"
    - "signal shaping for bicm at low snr"
    - "general ber expression for one dimensional constellations"
    - "a pragmatic coded modulation scheme for high spectral efficiency fiber optic communications"
    - "optimal alphabets and binary labelings for bicm at low snr"

Connected through hyperedge HE-6 (induced by source paper "conditions for a monotonic channel capacity"):
  with members:
    - "capacity of a nonlinear optical channel with finite memory"
    - "optimal alphabets and binary labelings for bicm at low snr"
    - "lecture notes on network information theory"
    - "the noncoherent rician fading channel part i structure of the capacity achieving input"

Connected through hyperedge HE-7 (induced by source paper "on continuous time white phase noise channels"):
  with members:
    - "phase modulation for discrete time wiener phase noise channels with oversampling at high snr"
    - "multi sample receivers increase information rates for wiener phase noise channels"
    - "tight upper and lower bounds to the information rate of the phase noise channel"
    - "on wiener phase noise channels at high signal to noise ratio"

Connected through hyperedge HE-8 (induced by source paper "mutual information as a figure of merit for optical fiber systems"):
  with members:
    - "spatially coupled ensembles universally achieve capacity under belief propagation"
    - "staircase codes fec for 100 gb s otn"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"

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)