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: "mu mimo communications with mimo radar from co existence to joint transmission"
  Abstract: Beamforming techniques are proposed for a joint multi-input-multi-output (MIMO) radar-communication (RadCom) system, where a single device acts both as a radar and a communication base station (BS) by simultaneously communicating with downlink users and detecting radar targets. Two operational options are considered, where we first split the antennas into two groups, one for radar and the other for communication. Under this deployment, the radar signal is designed to fall into the null-space of the downlink channel. The communication beamformer is optimized such that the beampattern obtained matches the radar's beampattern while satisfying the communication performance requirements. To reduce the optimizations' constraints, we consider a second operational option, where all the antennas transmit a joint waveform that is shared by both radar and communications. In this case, we formulate an appropriate probing beampattern, while guaranteeing the performance of the downlink communications. By incorporating the SINR constraints into objective functions as penalty terms, we further simplify the original beamforming designs to weighted optimizations, and solve them by efficient manifold algorithms. Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.

Connected through hyperedge HE-1 (induced by source paper "framework for a perceptive mobile network using joint communication and radar sensing"):
  with members:
    - "toward dual functional radar communication systems optimal waveform design"
    - "framework for an innovative perceptive mobile network using joint communication and sensing"
    - "super resolution delay doppler estimation for ofdm passive radar"
    - "energy efficient telemonitoring of physiological signals via compressed sensing a fast algorithm and power consumption evaluation"
    - "compressed sensing off the grid"

Connected through hyperedge HE-2 (induced by source paper "joint radar communications strategies for autonomous vehicles"):
  with members:
    - "analysis of frequency agile radar via compressed sensing"
    - "toward dual functional radar communication systems optimal waveform design"
    - "ieee 802 11ad based radar an approach to joint vehicular communication radar system"

Connected through hyperedge HE-3 (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"
    - "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.IT(Information Theory)