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: "second order statistics of mimo rayleigh interference channels theory applications and analysis"
  Abstract: While first-order channel statistics, such as bit-error rate (BER) and outage probability, play an important role in the design of wireless communication systems, they provide information only on the static behavior of fading channels. On the other hand, second-order statistics, such as level crossing rate (LCR) and average outage duration (AOD), capture the correlation properties of fading channels, hence, are used in system design notably in packet-based transmission systems. In this paper, exact closed-form expressions are derived for the LCR and AOD of the signal at a receiver where maximal-ratio combining (MRC) is deployed over flat Rayleigh fading channels in the presence of additive white Gaussian noise (AWGN) and co-channel interferers with unequal transmitting powers and unequal speeds. Moreover, in order to gain insight on the LCR behavior, a simplified approximate expression for the LCR is presented. As an application of LCR in system designs, the packet error rate (PER) is evaluated through finite state Markov chain (FSMC) model. Finally, as another application again by using the FSMC model, the optimum packet length to maximize the throughput of the system with stop-and-wait automatic repeat request (SW-ARQ) protocol is derived. Simulation results validating the presented expressions are provided.

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)