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: "multi sample receivers increase information rates for wiener phase noise channels"
  Abstract: A waveform channel is considered where the transmitted signal is corrupted by Wiener phase noise and additive white Gaussian noise (AWGN). A discrete-time channel model is introduced that is based on a multi-sample receiver. Tight lower bounds on the information rates achieved by the multi-sample receiver are computed by means of numerical simulations. The results show that oversampling at the receiver is beneficial for both strong and weak phase noise at high signal-to-noise ratios. The results are compared with results obtained when using other discrete-time models.

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"
    - "on wiener phase noise channels at high signal to noise ratio"
    - "calculation of mutual information for partially coherent gaussian channels with applications to fiber optics"

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"
    - "on wiener phase noise channels at high signal to noise ratio"
    - "calculation of mutual information for partially coherent gaussian channels with applications to fiber optics"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-3 (induced by source paper "lower bound on the capacity of continuous time wiener phase noise channels"):
  with members:
    - "models and information rates for wiener phase noise channels"
    - "upper bound on the capacity of discrete time wiener phase noise channels"
    - "on continuous time white phase noise channels"
    - "phase modulation for discrete time wiener phase noise channels with oversampling at high snr"
    - "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"
    - "interference focusing for mitigating cross phase modulation in a simplified optical fiber model"

Connected through hyperedge HE-4 (induced by source paper "capacity bounds for mimo microwave backhaul links affected by phase noise"):
  with members:
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "tight upper and lower bounds to the information rate of the phase noise channel"
    - "the papr problem in ofdm transmission new directions for a long lasting problem"
    - "on wiener phase noise channels at high signal to noise ratio"
    - "the capacity loss of dense constellations"
    - "information theoretic analysis of mimo channel sounding"

Connected through hyperedge HE-5 (induced by source paper "calculation of the performance of communication systems from measured oscillator phase noise"):
  with members:
    - "effect of synchronizing coordinated base stations on phase noise estimation"
    - "estimation of phase noise in oscillators with colored noise sources"
    - "soft metrics and their performance analysis for optimal data detection in the presence of strong oscillator phase noise"
    - "on wiener phase noise channels at high signal to noise ratio"

Connected through hyperedge HE-6 (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"
    - "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"
    - "calculation of mutual information for partially coherent gaussian channels with applications to fiber optics"

Connected through hyperedge HE-7 (induced by source paper "phase modulation for discrete time wiener phase noise channels with oversampling at high snr"):
  with members:
    - "on continuous time white 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"
    - "interference focusing for mitigating cross phase modulation in a simplified optical fiber model"

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)