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: "cooperative feedback for multi antenna cognitive radio networks"
  Abstract: Cognitive beamforming (CB) is a multi-antenna technique for efficient spectrum sharing between primary users (PUs) and secondary users (SUs) in a cognitive radio network. Specifically, a multi-antenna SU transmitter applies CB to suppress the interference to the PU receivers as well as enhance the corresponding SU-link performance. In this paper, for a multiple-input-single-output (MISO) SU channel coexisting with a single-input-single-output (SISO) PU channel, we propose a new and practical paradigm for designing CB based on the finite-rate cooperative feedback from the PU receiver to the SU transmitter. Specifically, the PU receiver communicates to the SU transmitter the quantized SU-to-PU channel direction information (CDI) for computing the SU transmit beamformer, and the interference power control (IPC) signal that regulates the SU transmission power according to the tolerable interference margin at the PU receiver. Two CB algorithms based on cooperative feedback are proposed: one restricts the SU transmit beamformer to be orthogonal to the quantized SU-to-PU channel direction and the other relaxes such a constraint. In addition, cooperative feedforward of the SU CDI from the SU transmitter to the PU receiver is exploited to allow more efficient cooperative feedback. The outage probabilities of the SU link for different CB and cooperative feedback/feedforward algorithms are analyzed, from which the optimal bit-allocation tradeoff between the CDI and IPC feedback is characterized.

Connected through hyperedge HE-1 (induced by source paper "stochastic control of event driven feedback in multiantenna interference channels"):
  with members:
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "adaptive bit partitioning for multicell intercell interference nulling with delayed limited feedback"
    - "event driven optimal feedback control for multiantenna beamforming"
    - "interference alignment with limited feedback"
    - "grassmannian beamforming for mimo amplify and forward relaying"
    - "space division multiple access with a sum feedback rate constraint"
    - "interference alignment and the degrees of freedom for the k user interference channel"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-2 (induced by source paper "power allocation for outage minimization in cognitive radio networks with limited feedback"):
  with members:
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"

Connected through hyperedge HE-3 (induced by source paper "cooperative precoding with limited feedback for mimo interference channels"):
  with members:
    - "event driven optimal feedback control for multiantenna beamforming"
    - "cooperative interference management with miso beamforming"
    - "limited feedback based block diagonalization for the mimo broadcast channel"
    - "interference alignment and the degrees of freedom for the k user interference channel"
    - "mimo broadcast channels with finite rate feedback"
    - "performance of orthogonal beamforming for sdma with limited feedback"
    - "quantization bounds on grassmann manifolds and applications to mimo communications"
    - "limited feedback beamforming over temporally correlated channels"

Connected through hyperedge HE-4 (induced by source paper "spectrum sharing in cognitive radio with quantized channel information"):
  with members:
    - "dynamic resource allocation in cognitive radio networks"
    - "on ergodic sum capacity of fading cognitive multiple access and broadcast channels"
    - "optimal power allocation for fading channels in cognitive radio networks ergodic capacity and outage capacity"
    - "on peak versus average interference power constraints for protecting primary users in cognitive radio networks"

Connected through hyperedge HE-5 (induced by source paper "cooperative feedback for mimo interference channels"):
  with members:
    - "cooperative interference management with miso beamforming"
    - "interference alignment and the degrees of freedom for the k user interference channel"
    - "mimo broadcast channels with finite rate feedback"
    - "performance of orthogonal beamforming for sdma with limited feedback"

Connected through hyperedge HE-6 (induced by source paper "stability and delay of zero forcing sdma with limited feedback"):
  with members:
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "mode switching for the multi antenna broadcast channel based on delay and channel quantization"
    - "mimo broadcast channels with finite rate feedback"
    - "performance of orthogonal beamforming for sdma with limited feedback"

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)