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: "channel state feedback over the mimo mac"
  Abstract: We consider the problem of designing low latency and low complexity schemes for channel state feedback over the MIMO-MAC (multiple-input multiple-output multiple access channel). We develop a framework for analyzing this problem in terms of minimizing the MSE distortion, and come up with separated source-channel schemes and joint source-channel schemes that perform better than analog feedback. We also develop a strikingly simple code design based on scalar quantization and uncoded QAM modulation that achieves the theoretical asymptotic performance limit of the separated approach with very low complexity and latency, in the case of single-antenna users.

Connected through hyperedge HE-1 (induced by source paper "network mimo with linear zero forcing beamforming large system analysis impact of channel estimation and reduced complexity scheduling"):
  with members:
    - "multi cell mimo downlink with cell cooperation and fair scheduling a large system limit analysis"
    - "multiuser miso transmitter optimization for intercell interference mitigation"
    - "on the optimal number of cooperative base stations in network mimo systems"
    - "base station cooperation on the downlink large system analysis"
    - "cooperative multi cell block diagonalization with per base station power constraints"
    - "mimo downlink scheduling with non perfect channel state knowledge"
    - "training and feedback optimization for multiuser mimo downlink"
    - "mimo broadcast channel optimization under general linear constraints"

Connected through hyperedge HE-2 (induced by source paper "multiuser mimo achievable rates with downlink training and channel state feedback"):
  with members:
    - "mode switching for the multi antenna broadcast channel based on delay and channel quantization"
    - "optimized training and feedback for mimo downlink channels"
    - "channel state feedback schemes for multiuser mimo ofdm downlink"
    - "antenna combining for the mimo downlink channel"
    - "space division multiple access with a sum feedback rate constraint"
    - "multi user diversity vs accurate channel feedback for mimo broadcast channels"
    - "mimo broadcast channels with finite rate feedback"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"

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)