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: "performance of two way relaying over α μ fading channels in hybrid rf fso wireless networks"
  Abstract: In this paper, the performance of two-way relaying in mixed RF/FSO communication system with a backup RF link is investigated. Uplink RF channels are used to send data of $K$ users to a two-way relay, $R$, whereas FSO link is mainly used to exchange data between a base station $S$ and $R$. We propose to have a backup RF link between the relay $R$ and the node $S$ to improve reliability under certain conditions. All uplink RF channels follow Rayleigh fading model while $\alpha$-$\mu$ is adopted to model both backup RF and FSO links. We approximate the widely used Gamma-Gamma fading model using the $\alpha$-$\mu$ distribution based on moments-based estimator technique assuming perfect alignment between transmitter and receiver antennas. This approximation shows good agreement under certain atmospheric turbulence conditions. Then, we derive exact closed-form expressions for the outage and average symbol error probabilities and derive approximations at high signal-to-noise ratio (SNR). We corroborate our analytical expressions with extensive Monte-Carlo simulations and demonstrate exact match. Furthermore, we analyze the effect of number of nodes, opportunistic scheduling among $K$ nodes, and $\alpha$-$\mu$ parameters on the overall performance of mixed RF/FSO and backup RF systems. Our numerical results illustrate an achievable coding gain when increasing $K$; however, performance degradation occurs as the relay applies selection that favors the domination of specific links in the system.

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)