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: "analysis of chromatic dispersion compensation and carrier phase recovery in long haul optical transmission system influenced by equalization enhanced phase noise"
  Abstract: The performance of long-haul coherent optical fiber transmission system is significantly affected by the equalization enhanced phase noise (EEPN), due to the interaction between the electronic dispersion compensation (EDC) and the laser phase noise. In this paper, we present a comprehensive study on different chromatic dispersion (CD) compensation and carrier phase recovery (CPR) approaches, in the n-level phase shift keying (n-PSK) and the n-level quadrature amplitude modulation (n-QAM) coherent optical transmission systems, considering the impacts of EEPN. Four CD compensation methods are considered: the time-domain equalization (TDE), the frequency-domain equalization (FDE), the least mean square (LMS) adaptive equalization are applied for EDC, and the dispersion compensating fiber (DCF) is employed for optical dispersion compensation (ODC). Meanwhile, three carrier phase recovery methods are also involved: a one-tap normalized least mean square (NLMS) algorithm, a block-wise average (BWA) algorithm, and a Viterbi-Viterbi (VV) algorithm. Numerical simulations have been carried out in a 28-Gbaud dual-polarization quadrature phase shift keying (DP-QPSK) coherent transmission system, and the results indicate that the origin of EEPN depends on the choice of chromatic dispersion compensation methods, and the effects of EEPN also behave moderately different in accordance to different carrier phase recovery scenarios.

Connected through hyperedge HE-1 (induced by source paper "digital signal processing for optical communications and networks i linear compensation"):
  with members:
    - "achievable information rates estimates in optically amplified transmission systems using nonlinearity compensation and probabilistic shaping"
    - "analytical investigations on carrier phase recovery in dispersion unmanaged n psk coherent optical communication systems"
    - "phase noise influence in long range coherent optical ofdm systems with delay detection ifft multiplexing and fft demodulation"
    - "phase noise influence in coherent optical ofdm systems with rf pilot tone digital ifft multiplexing and fft demodulation"
    - "analytical estimation in differential optical transmission systems influenced by equalization enhanced phase noise"
    - "digital adaptive carrier phase estimation in multi level phase shift keying coherent optical communication systems"
    - "phase noise influence in optical ofdm systems employing rf pilot tone for phase noise cancellation"
    - "comparative study on carrier phase estimation methods in dispersion unmanaged optical transmission systems"

Connected through hyperedge HE-2 (induced by source paper "digital feed back carrier phase recovery in n psk coherent optical fiber systems"):
  with members:
    - "phase noise influence in long range coherent optical ofdm systems with delay detection ifft multiplexing and fft demodulation"
    - "phase noise influence in coherent optical ofdm systems with rf pilot tone digital ifft multiplexing and fft demodulation"
    - "phase noise influence in optical ofdm systems employing rf pilot tone for phase noise cancellation"

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)