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 of single anchor mm wave positioning"
  Abstract: The fundamental limits of single-anchor multi-antenna positioning are investigated. Exploiting the structure of the channel at millimeter-wave (mm-Wave) frequencies, the Cram\'er-Rao lower bound for the position, orientation and velocity estimation error is derived for transmitter and receiver localization under a static and dynamic scenario with or without knowledge of the time of transmission (KTT). After revisiting the relation of the observed multiple input-multiple output (MIMO)-orthogonal frequency division multiplexing (OFDM) channel with the underlying geometry of the channel, we present geometrically intuitive asymptotic expressions for the Fisher information for large bandwidth, large number of antennas and different levels of KTT. Based on our derived results, we show that the Fisher information matrix (FIM) on position and orientation parameters in the downlink (DL) and the uplink (UL) differ only by a scalar, which is equal to the ratio of the receive Signal-to-Noise Ratio (SNR) in the DL and UL.

Connected through hyperedge HE-1 (induced by source paper "5g downlink multi beam signal design for los positioning"):
  with members:
    - "optimal precoders for tracking the aod and aoa of a mmwave path"
    - "error bounds for uplink and downlink 3d localization in 5g mmwave systems"
    - "transmitter beam selection in millimeter wave mimo with in band position aiding"
    - "performance limits and geometric properties of array localization"

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)