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: "adaptive interference removal for uncoordinated radar communication coexistence"
  Abstract: Most existing approaches to coexisting communication/radar systems assume that the radar and communication systems are coordinated, i.e., they share information, such as relative position, transmitted waveforms, and channel state. In this paper, we consider an uncoordinated scenario where a communication receiver is to operate in the presence of a number of radars, of which only a subset may be active, which poses the problem of estimating the active waveforms and the relevant parameters thereof, so as to cancel them prior to demodulation. Two algorithms are proposed for such a joint waveform estimation/data demodulation problem, both exploiting sparsity of a proper representation of the interference and of the vector containing the errors of the data block, so as to implement an iterative joint interference removal/data demodulation process. The former algorithm is based on classical on-grid compressed sensing, whereas the latter forces an atomic norm (AN) constraint: In both cases the radar parameters and the communication demodulation errors can be estimated by solving a convex problem. We also propose a way to improve the efficiency of the AN-based algorithm. The performance of these algorithms are demonstrated through extensive simulations, taking into account a variety of conditions concerning both the interferers and the respective channel states.

Connected through hyperedge HE-1 (induced by source paper "interference removal for radar communication co existence the random scattering case"):
  with members:
    - "on the global geometry of sphere constrained sparse blind deconvolution"
    - "atomic norm minimization for modal analysis from random and compressed samples"
    - "recovery of structured signals with prior information via maximizing correlation"
    - "joint design of overlaid communication systems and pulsed radars"
    - "guaranteed blind sparse spikes deconvolution via lifting and convex optimization"
    - "spectrum sharing between a surveillance radar and secondary wi fi networks"
    - "optimum co design for spectrum sharing between matrix completion based mimo radars and a mimo communication system"
    - "super resolution of complex exponentials from modulations with unknown waveforms"

Connected through hyperedge HE-2 (induced by source paper "multi dimensional spectral super resolution with prior knowledge via frequency selective vandermonde decomposition and admm"):
  with members:
    - "multi target position and velocity estimation using ofdm communication signals"
    - "recovery of structured signals with prior information via maximizing correlation"
    - "near optimal sample complexity for convex tensor completion"
    - "millimeter wave beamformed full dimensional mimo channel estimation based on atomic norm minimization"
    - "super resolution delay doppler estimation for ofdm passive radar"
    - "rank determination for low rank data completion"
    - "characterization of deterministic and probabilistic sampling patterns for finite completability of low tensor train rank tensor"
    - "frequency selective vandermonde decomposition of toeplitz matrices with applications"

Connected through hyperedge HE-3 (induced by source paper "compressive multidimensional harmonic retrieval with prior knowledge"):
  with members:
    - "multi target position and velocity estimation using ofdm communication signals"
    - "super resolution delay doppler estimation for ofdm passive radar"
    - "frequency selective vandermonde decomposition of toeplitz matrices with applications"
    - "vandermonde decomposition of multilevel toeplitz matrices with application to multidimensional super resolution"
    - "spectral super resolution with prior knowledge"
    - "exact joint sparse frequency recovery via optimization methods"
    - "atomic norm denoising with applications to line spectral estimation"
    - "compressed sensing off the grid"

Connected through hyperedge HE-4 (induced by source paper "multi target position and velocity estimation using ofdm communication signals"):
  with members:
    - "complete dictionary recovery over the sphere i overview and the geometric picture"
    - "super resolution delay doppler estimation for ofdm passive radar"
    - "super resolution of complex exponentials from modulations with unknown waveforms"
    - "direction of arrival estimation using co prime arrays a super resolution viewpoint"
    - "atomic norm denoising with applications to line spectral estimation"
    - "compressed sensing off the grid"
    - "super resolution from noisy data"
    - "towards a mathematical theory of super resolution"

Connected through hyperedge HE-5 (induced by source paper "communications and radar coexistence in the massive mimo regime uplink analysis"):
  with members:
    - "co existence between a radar system and a massive mimo wireless cellular system"
    - "on the ergodic rate lower bounds with applications to massive mimo"
    - "optimum co design for spectrum sharing between matrix completion based mimo radars and a mimo communication system"
    - "spectrum sharing radar coexistence via xampling"

Connected through hyperedge HE-6 (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"
    - "performance analysis of joint radar and communication using ofdm and otfs"

Connected through hyperedge HE-7 (induced by source paper "super resolution mmwave channel estimation using atomic norm minimization"):
  with members:
    - "vandermonde decomposition of multilevel toeplitz matrices with application to multidimensional super resolution"
    - "hybrid mimo architectures for millimeter wave communications phase shifters or switches"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "distributed compressive csit estimation and feedback for fdd multi user massive mimo systems"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "a remark on the restricted isometry property in orthogonal matching pursuit"
    - "compressed sensing off the grid"

Connected through hyperedge HE-8 (induced by source paper "toward dual functional radar communication systems optimal waveform design"):
  with members:
    - "joint design of overlaid communication systems and pulsed radars"
    - "mu mimo communications with mimo radar from co existence to joint transmission"
    - "robust mimo beamforming for cellular and radar coexistence"
    - "interference exploitation for radar and cellular coexistence the power efficient approach"
    - "an efficient global algorithm for single group multicast beamforming"
    - "an efficient manifold algorithm for constructive interference based constant envelope precoding"
    - "optimum co design for spectrum sharing between matrix completion based mimo radars and a mimo communication system"
    - "riemannian dictionary learning and sparse coding for positive definite matrices"

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.SY(Systems and Control)