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 analysis of joint radar and communication using ofdm and otfs"
  Abstract: We consider a joint radar estimation and communication system using orthogonal frequency division multiplexing (OFDM) and orthogonal time frequency space (OTFS) modulations. The scenario is motivated by vehicular applications where a vehicle equipped with a mono-static radar wishes to communicate data to its target receiver, while estimating parameters of interest related to this receiver. By focusing on the case of a single target, we derive the maximum likelihood (ML) estimator and the Cram\'er-Rao lower bound on joint velocity and range estimation. Numerical examples demonstrate that both digital modulation formats can achieve as accurate range/velocity estimation as state-of-the-art radar waveforms such as frequency modulated continuous wave (FMCW) while sending digital information at their full achievable rate. We conclude that it is possible to obtain significant data transmission rate without compromising the radar estimation capabilities of the system.

Connected through hyperedge HE-1 (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"
    - "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"
    - "tracking of wideband multipath components in a vehicular communication scenario"

Connected through hyperedge HE-2 (induced by source paper "using massive mimo arrays for joint communication and sensing"):
  with members:
    - "communications and radar coexistence in the massive mimo regime uplink analysis"
    - "adaptive interference removal for uncoordinated radar communication coexistence"

Connected through hyperedge HE-3 (induced by source paper "mutual information of wireless channels and block jacobi ergodic operators"):
  with members:
    - "modulation and multiple access for 5g networks"
    - "the shannon s mutual information of a multiple antenna time and frequency dependent channel an ergodic operator approach"
    - "on information rates of the fading wyner cellular model via the thouless formula for the strip"
    - "on certain large random hermitian jacobi matrices with applications to wireless communications"

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)