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: "higher order statistics in switch and stay diversity systems"
  Abstract: We analyze the level crossing rate (LCR) and the average fade duration of the output signal-to-noise ratio (SNR) in switch-and-stay combining (SSC) systems. By using a common approach, we study these higher order statistics for two different kinds of configurations: 1) colocated diversity, i.e., receiver equipped with multiple antennas, and 2) distributed diversity, i.e., relaying link with multiple single-antenna threshold-based decode-and-forward (DF) relays. Whenever using threshold-based techniques such as DF or SSC, the output SNR is a discontinuous random process, and hence, the classic Rice approach to calculate the LCR is not applicable. Thus, we use an alternative formulation, in terms of the 1-D and 2-D cumulative distribution functions of the output SNR. Our results are general and hold for any arbitrary fading distribution at the different diversity branches with any arbitrary time correlation model. Moreover, we develop a general asymptotic framework to calculate these higher order statistics in high average SNR environments that only needs the univariate probability density function (PDF), finding an insightful connection between the asymptotes of the LCR and the fading diversity order.

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)