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: "outage probability analysis of amplify and forward cooperative diversity relay networks"
  Abstract: In a cooperative diversity relay network, amplifyand-forward (AF) relaying protocol in conjunction with maximum likelihood detection at the destination has proved to be quite competitive to other relaying protocols. The statistical analysis of the fading end-to-end channel gain of the AF relaying protocol, however, is well known as extremely complex, and research work to date have only studied the asymptotic behavior of the outage probability of the network at either very low or very high signal-to-noise ratios (SNR). Most current works circumvent the analytical complexity by first ignoring the effect of AWGN then by using the simple approximated upper bound min(u,v) for the signal-to-noise ratio. The approximated upper bound min(u,v,uvSNR), proposed in this paper, is far better bound than min(u, v) for the entire SNR, which allows us to derive exact analytical expressions to study the effect of AWGN on the network performance. The accuracy of the resulting lower bound for the network’s outage probability using the proposed min(u,v,uvSNR) function is very convincing for the entire range of AWGN.

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)