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: "interference exploitation for radar and cellular coexistence the power efficient approach"
  Abstract: We propose a novel approach to enable the coexistence between Multi-Input-Multi-Output (MIMO) radar and downlink multi-user Multi-Input-Single-Output (MU-MISO) communication system. By exploiting the constructive multi-user interference (MUI), the proposed approach trades-off useful MUI power for reducing the transmit power, to obtain a power efficient transmission. This paper focuses on two optimization problems: a) Transmit power minimization at the base station (BS) while guaranteeing the receive signal-to-interference-plus-noise ratio (SINR) level of downlink users and the interference-to-noise ratio (INR) level to radar; b) Minimization of the interference from BS to radar for a given requirement of downlink SINR and transmit power budget. To reduce the computational overhead of the proposed scheme in practice, an algorithm based on gradient projection is designed to solve the power minimization problem. In addition, we investigate the trade-off between the performance of radar and communication, and analytically derive the key metrics for MIMO radar in the presence of the interference from the BS. Finally, a robust power minimization problem is formulated to ensure the effectiveness of the proposed method in the case of imperfect Channel State Information (CSI). Numerical results show that the proposed method achieves a significant power saving compared to conventional approaches, while obtaining a favorable performance-complexity trade-off.

Connected through hyperedge HE-1 (induced by source paper "toward dual functional radar communication systems optimal waveform design"):
  with members:
    - "adaptive interference removal for uncoordinated radar communication coexistence"
    - "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"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "mu mimo communications with mimo radar from co existence to joint transmission"):
  with members:
    - "robust mimo beamforming for cellular and radar coexistence"
    - "coordinated multicell multicast beamforming based on manifold optimization"
    - "an efficient manifold algorithm for constructive interference based constant envelope precoding"
    - "coexistence analysis between radar and cellular system in los channel"
    - "optimum co design for spectrum sharing between matrix completion based mimo radars and a mimo communication system"
    - "target detection performance of spectrum sharing mimo radars"
    - "manopt a matlab toolbox for optimization on manifolds"

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)