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: "estimation of phase noise in oscillators with colored noise sources"
  Abstract: In this letter we study the design of algorithms for estimation of phase noise (PN) with colored noise sources. A soft-input maximum a posteriori PN estimator and a modified soft-input extended Kalman smoother are proposed. The performance of the proposed algorithms are compared against those studied in the literature, in terms of mean square error of PN estimation, and symbol error rate of the considered communication system. The comparisons show that considerable performance gains can be achieved by designing estimators that employ correct knowledge of the PN statistics.

Connected through hyperedge HE-1 (induced by source paper "optimal reference signal design for phase noise compensation in multi carrier massive mimo systems"):
  with members:
    - "periodic analog channel estimation aided beamforming for massive mimo systems"
    - "continuous analog channel estimation aided beamforming for massive mimo systems"
    - "on the phase tracking reference signal pt rs design for 5g new radio nr"
    - "hybrid beamforming with selection for multiuser massive mimo systems"
    - "phase noise compensation for ofdm systems"
    - "impact of general channel aging conditions on the downlink performance of massive mimo"
    - "hybrid digital and analog beamforming design for large scale antenna arrays"
    - "dynamic subarrays for hybrid precoding in wideband mmwave mimo systems"

Connected through hyperedge HE-2 (induced by source paper "on the capacity of the wiener phase noise channel bounds and capacity achieving distributions"):
  with members:
    - "capacity of simo and miso phase noise channels with common separate oscillators"
    - "on the impact of oscillator phase noise on the uplink performance in a massive mimo ofdm system"
    - "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"
    - "improving bandwidth efficiency in e band communication systems"
    - "oscillator phase noise and small scale channel fading in higher frequency bands"
    - "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers"
    - "on continuous time white phase noise channels"

Connected through hyperedge HE-3 (induced by source paper "receiver algorithm based on differential signaling for simo phase noise channels with common and separate oscillator configurations"):
  with members:
    - "capacity of simo and miso phase noise channels with common separate oscillators"
    - "on the impact of oscillator phase noise on the uplink performance in a massive mimo ofdm system"
    - "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"
    - "improving bandwidth efficiency in e band communication systems"
    - "oscillator phase noise and small scale channel fading in higher frequency bands"
    - "massive mimo for next generation wireless systems"
    - "algorithms for joint phase estimation and decoding for mimo systems in the presence of phase noise"

Connected through hyperedge HE-4 (induced by source paper "phase noise mitigation in ofdm by best match trajectories"):
  with members:
    - "analysis of oscillator phase noise effects on self interference cancellation in full duplex ofdm radio transceivers"
    - "understanding the impact of phase noise on active cancellation in wireless full duplex"

Connected through hyperedge HE-5 (induced by source paper "calculation of the performance of communication systems from measured oscillator phase noise"):
  with members:
    - "multi sample receivers increase information rates for wiener phase noise channels"
    - "effect of synchronizing coordinated base stations on phase noise estimation"
    - "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 "oscillator phase noise and small scale channel fading in higher frequency bands"):
  with members:
    - "calculation of the performance of communication systems from measured oscillator phase noise"
    - "improving bandwidth efficiency in e band communication systems"
    - "soft metrics and their performance analysis for optimal data detection in the presence of strong oscillator phase noise"

Connected through hyperedge HE-7 (induced by source paper "algorithms for joint phase estimation and decoding for mimo systems in the presence of phase noise"):
  with members:
    - "soft metrics and their performance analysis for optimal data detection in the presence of strong oscillator phase noise"
    - "expectation propagation for approximate bayesian inference"
    - "information theoretic analysis of mimo channel sounding"

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)