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 limits and geometric properties of narrowband array localization"
  Abstract: Location-aware networks are of great importance and interest in both civil and military applications. This paper determines the localization accuracy of an agent in a wireless network, where the agent is equipped with an antenna array making measurements with several anchor nodes in a far-field environment. In view of the Cram\'er-Rao bound, we derive that the localization information is a weighed sum of Fisher information matrices from each anchor-antenna measurement pair that employs narrowband transmission. Each matrix can be further decomposed into a distance part with intensity proportional to the squared baseband effective bandwidth, and a direction part with intensity associated with the normalized anchor-antenna visual angle. Moreover, we show that in the dynamic case, the Doppler shift contributes additional direction information, with intensity determined by the speed and the root mean squared time duration of the transmitted signal. Furthermore, two measures are proposed to evaluate the performance of wireless localization network with different anchor-agent and antenna-array geometries. Both formulae and simulations are provided to illustrate the superior anchor and/or antenna array geometries for achievable localization performances.

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)