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: "worst case sinr constrained robust coordinated beamforming for multicell wireless systems"
  Abstract: Multicell coordinated beamforming (MCBF) has been recognized as a promising approach to enhancing the system throughput and spectrum efficiency of wireless cellular systems. In contrast to the conventional single-cell beamforming (SBF) design, MCBF jointly optimizes the beamforming vectors of cooperative base stations (BSs) (via a central processing unit(CPU)) in order to mitigate the intercell interference. While most of the existing designs assume that the CPU has the perfect knowledge of the channel state information (CSI) of mobile stations (MSs), this paper takes into account the inevitable CSI errors at the CPU, and study the robust MCBF design problem. Specifically, we consider the worst-case robust design formulation that minimizes the weighted sum transmission power of BSs subject to worst-case signal-to-interference-plus-noise ratio (SINR) constraints on MSs. The associated optimization problem is challenging because it involves infinitely many nonconvex SINR constraints. In this paper, we show that the worst-case SINR constraints can be reformulated as linear matrix inequalities, and the approximation method known as semidefinite relation can be used to efficiently handle the worst-case robust MCBF problem. Simulation results show that the proposed robustMCBF design can provide guaranteed SINR performance for the MSs and outperforms the robust SBF design.

Connected through hyperedge HE-1 (induced by source paper "robust resource allocation for pd noma based miso heterogeneous networks with comp technology"):
  with members:
    - "radio resource allocation for device to device underlay communication using hypergraph theory"
    - "user association in 5g networks a survey and an outlook"
    - "optimal joint power and subcarrier allocation for full duplex multicarrier non orthogonal multiple access systems"
    - "optimal dynamic point selection for power minimization in multiuser downlink comp"
    - "optimal stochastic coordinated beamforming for wireless cooperative networks with csi uncertainty"
    - "low complexity delay constrained beamforming for multi user mimo systems with imperfect csit"
    - "robust monotonic optimization framework for multicell miso systems"
    - "probabilistic sinr constrained robust transmit beamforming a bernstein type inequality based conservative approach"

Connected through hyperedge HE-2 (induced by source paper "distributed robust multicell coordinated beamforming with imperfect csi an admm approach"):
  with members:
    - "robust monotonic optimization framework for multicell miso systems"
    - "worst case robust multiuser transmit beamforming using semidefinite relaxation duality and implications"
    - "robust linear precoder design for multi cell downlink transmission"
    - "multiuser miso transmitter optimization for intercell interference mitigation"
    - "probabilistic sinr constrained robust transmit beamforming a bernstein type inequality based conservative approach"
    - "optimal distributed beamforming for miso interference channels"
    - "cooperative interference management with miso beamforming"

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)