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: "effect of synchronizing coordinated base stations on phase noise estimation"
  Abstract: In this paper, we study the problem of oscillator phase noise (PN) estimation in coordinated multi-point (CoMP) transmission systems. Specifically, we investigate the effect of phase synchronization between coordinated base stations (BSs) on PN estimation at the user receiver. In this respect, the Bayesian Cramer-Rao bound for PN estimation is derived which is a function of the level of phase synchronization between the coordinated BSs. Results show that quality of BS synchronization has a significant effect on the PN estimation.

Connected through hyperedge HE-1 (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-2 (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-3 (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"
    - "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"

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)