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: "high snr analysis of mimo broadcast channels"
  Abstract: The behavior of the multiple antenna broadcast channel at high SNR is investigated. The multiple antenna broadcast channel achieves the same multiplexing gain as the system in which all receivers are allowed to perfectly cooperate (i.e. transforming the system into a point-to-point MIMO system). However, the multiplexing gain alone is not sufficient to accurately characterize the behavior of sum rate capacity at high SNR. An affine approximation to capacity which incorporates the multiplexing gain as well as a power offset (i.e. a zero-order term) is a more accurate representation of high SNR behavior. The power offset of the sum rate capacity is shown to equal the power offset of the cooperative MIMO system when there are less receivers than transmit antennas. In addition, the power offset of using the sub-optimal strategy of beamforming is calculated. These calculations show that beamforming can perform quite well when the number of antennas is sufficiently larger than the number of receivers, but performs very poorly when there are nearly as many receivers as transmit antennas

Connected through hyperedge HE-1 (induced by source paper "hybrid beamforming for large antenna arrays with phase shifter selection"):
  with members:
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "near optimal hybrid processing for massive mimo systems via matrix decomposition"
    - "spatially sparse precoding in millimeter wave mimo systems"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "joint spatial division and multiplexing for mm wave channels"

Connected through hyperedge HE-2 (induced by source paper "multi mode transmission for the mimo broadcast channel with imperfect channel state information"):
  with members:
    - "multi user diversity vs accurate channel state information in mimo downlink channels"
    - "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"
    - "space division multiple access with a sum feedback rate constraint"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "mimo broadcast channels with finite rate feedback"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"
    - "performance of orthogonal beamforming for sdma with limited feedback"

Connected through hyperedge HE-3 (induced by source paper "bit allocation laws for multi antenna channel feedback quantization multi user case"):
  with members:
    - "bit allocation law for multiantenna channel feedback quantization single user case"
    - "adaptive limited feedback for sum rate maximizing beamforming in cooperative multicell systems"
    - "space division multiple access with a sum feedback rate constraint"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "performance of orthogonal beamforming for sdma with limited feedback"

Connected through hyperedge HE-4 (induced by source paper "achievable throughput of multi mode multiuser mimo with imperfect csi constraints"):
  with members:
    - "mode switching for the multi antenna broadcast channel based on delay and channel quantization"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "mimo broadcast channels with finite rate feedback"
    - "on the capacity of fading mimo broadcast channels with imperfect transmitter side information"
    - "quantization bounds on grassmann manifolds and applications to mimo communications"

Connected through hyperedge HE-5 (induced by source paper "mode switching for the multi antenna broadcast channel based on delay and channel quantization"):
  with members:
    - "limited feedback based block diagonalization for the mimo broadcast channel"
    - "multiuser mimo achievable rates with downlink training and channel state feedback"
    - "mimo broadcast channels with finite rate feedback"

Connected through hyperedge HE-6 (induced by source paper "power bandwidth tradeoff in multiuser relay channels with opportunistic scheduling"):
  with members:
    - "multihop diversity in wideband ofdm systems the impact of spatial reuse and frequency selectivity"
    - "opportunistic relay selection with limited feedback"
    - "power bandwidth tradeoff in dense multi antenna relay networks"
    - "opportunism in multiuser relay channels scheduling routing and spectrum reuse"
    - "cooperative relay broadcast channels"

Connected through hyperedge HE-7 (induced by source paper "an asymptotic analysis of the mimo bc under linear filtering"):
  with members:
    - "a general rate duality of the mimo multiple access channel and the mimo broadcast channel"

Connected through hyperedge HE-8 (induced by source paper "mimo broadcast channels with block diagonalization and finite rate feedback"):
  with members:
    - "quantization bounds on grassmann manifolds of arbitrary dimensions and mimo communications with feedback"
    - "mimo broadcast channels with finite rate 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)