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: "tracking of wideband multipath components in a vehicular communication scenario"
  Abstract: A detailed understanding of the dynamic processes of vehicular radio channels is crucial for its realistic modeling. In this paper, we present multipath components (MPCs) tracking results from a channel sounder measurement with 1-GHz bandwidth at a carrier frequency of 5.7 GHz. We describe in detail the applied algorithms and perform a tracking performance evaluation based on artificial channels and on measurement data from a tunnel scenario. The tracking performance of the proposed algorithm is comparable to the tracking performance of the state-of-the-art Gaussian mixture probability hypothesis density filter but with a significantly lower complexity. The fluctuation of the measured channel gain is followed very well by the proposed tracking algorithm, with a power loss of only 2.5 dB. We present statistical distributions for the number of MPCs and the birth/death rate. The applied algorithms and tracking results can be used to enhance the development of geometry-based channel models.

Connected through hyperedge HE-1 (induced by source paper "localization efficiency in massive mimo systems"):
  with members:
    - "localization in ultra narrow band iot networks design guidelines and tradeoffs"
    - "massive mimo based localization and mapping exploiting phase information of multipath components"
    - "employing antenna selection to improve energy efficiency in massive mimo systems"
    - "massive mimo in real propagation environments do all antennas contribute equally"
    - "massive mimo for next generation wireless systems"
    - "what will 5g be"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "fundamental limits of wideband localization part i a general framework"

Connected through hyperedge HE-2 (induced by source paper "on the effectiveness of otfs for joint radar and communication"):
  with members:
    - "low complexity linear equalizers for otfs exploiting two dimensional fast fourier transform"
    - "performance analysis of joint radar and communication using ofdm and otfs"
    - "joint radar communications strategies for autonomous vehicles"
    - "orthogonal time frequency space otfs modulation based radar system"
    - "channel estimation for orthogonal time frequency space otfs massive mimo"
    - "joint state sensing and communication optimal tradeoff for a memoryless case"
    - "embedded pilot aided channel estimation for otfs in delay doppler channels"
    - "interference cancellation and iterative detection for orthogonal time frequency space modulation"

Connected through hyperedge HE-3 (induced by source paper "on the temporal effects of mobile blockers in urban millimeter wave cellular scenarios"):
  with members:
    - "a novel millimeter wave channel simulator and applications for 5g wireless communications"
    - "analysis of human body blockage in urban millimeter wave cellular communications"
    - "5g 3gpp like channel models for outdoor urban microcellular and macrocellular environments"
    - "millimeter wave human blockage at 73 ghz with a simple double knife edge diffraction model and extension for directional antennas"
    - "temporal correlation of interference in bounded mobile ad hoc networks with blockage"
    - "transport layer performance in 5g mmwave cellular"
    - "investigation of prediction accuracy sensitivity and parameter stability of large scale propagation path loss models for 5g wireless communications"
    - "what will 5g be"

Connected through hyperedge HE-4 (induced by source paper "measurement based wideband analysis of dynamic multipath propagation in vehicular communication scenarios"):
  with members:
    - "delay and doppler spreads of nonstationary vehicular channels for safety relevant scenarios"

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)