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: "evaluation of position related information in multipath components for indoor positioning"
  Abstract: Location awareness is a key factor for a wealth of wireless indoor applications. Its provision requires the careful fusion of diverse information sources. For agents that use radio signals for localization, this information may either come from signal transmissions with respect to fixed anchors, from cooperative transmissions inbetween agents, or from radar-like monostatic transmissions. Using a-priori knowledge of a floor plan of the environment, specular multipath components can be exploited, based on a geometric-stochastic channel model. In this paper, a unified framework is presented for the quantification of this type of position-related information, using the concept of equivalent Fisher information. We derive analytical results for the Cramer-Rao lower bound of multipath-assisted positioning, considering bistatic transmissions between agents and fixed anchors, monostatic transmissions from agents, cooperative measurements inbetween agents, and combinations thereof, including the effect of clock offsets. Awareness of this information enables highly accurate and robust indoor positioning. Computational results show the applicability of the framework for the characterization of the localization capabilities of a given environment, quantifying the influence of different system setups, signal parameters, and the impact of path overlap.

Connected through hyperedge HE-1 (induced by source paper "a belief propagation algorithm for multipath based slam"):
  with members:
    - "generalized optimal sub pattern assignment metric"
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "cooperative simultaneous localization and synchronization in mobile agent networks"
    - "variational bayesian inference of line spectra"
    - "marginal multi bernoulli filters rfs derivation of mht jipda and association based member"
    - "approximate evaluation of marginal association probabilities with belief propagation"

Connected through hyperedge HE-2 (induced by source paper "massive mimo based localization and mapping exploiting phase information of multipath components"):
  with members:
    - "a belief propagation algorithm for multipath based slam"
    - "a scalable belief propagation algorithm for radio signal based slam"
    - "direct localization for massive mimo"
    - "error bounds for uplink and downlink 3d localization in 5g mmwave systems"
    - "position and orientation estimation through millimeter wave mimo in 5g systems"
    - "measurement based wideband analysis of dynamic multipath propagation in vehicular communication scenarios"
    - "fingerprinting based positioning in distributed massive mimo systems"
    - "scaling up mimo opportunities and challenges with very large arrays"

Connected through hyperedge HE-3 (induced by source paper "a scalable belief propagation algorithm for radio signal based slam"):
  with members:
    - "a scalable algorithm for tracking an unknown number of targets using multiple sensors"
    - "variational bayesian inference of line spectra"
    - "approximate evaluation of marginal association probabilities with belief propagation"

Connected through hyperedge HE-4 (induced by source paper "position and orientation estimation through millimeter wave mimo in 5g systems"):
  with members:
    - "direct localization for massive mimo"
    - "error bounds for uplink and downlink 3d localization in 5g mmwave systems"
    - "compressive channel estimation and tracking for large arrays in mm wave picocells"
    - "joint device positioning and clock synchronization in 5g ultra dense networks"
    - "cognitive indoor positioning and tracking using multipath channel information"
    - "frequency selective hybrid precoding for limited feedback millimeter wave systems"
    - "fingerprinting based positioning in distributed massive mimo systems"
    - "compressed sensing based multi user millimeter wave systems how many measurements are needed"

Connected through hyperedge HE-5 (induced by source paper "error bounds for uplink and downlink 3d localization in 5g mmwave systems"):
  with members:
    - "performance limits and geometric properties of array localization"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "mitigating pilot contamination through location aware pilot assignment in massive mimo networks"
    - "spatial wireless channel prediction under location uncertainty"
    - "low power analog to digital conversion in millimeter wave systems impact of resolution and bandwidth on performance"
    - "what will 5g be"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "fundamental limits of wideband localization part ii cooperative networks"

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)