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: "asymptotic analysis of double scattering channels"
  Abstract: We consider a multiple-input multiple-output (MIMO) multiple access channel (MAC), where the channel between each transmitter and the receiver is modeled by the doubly-scattering channel model. Based on novel techniques from random matrix theory, we derive deterministic approximations of the mutual information, the signal-to-noise-plus-interference-ratio (SINR) at the output of the minimum-mean-square-error (MMSE) detector and the sum-rate with MMSE detection which are almost surely tight in the large system limit. Moreover, we derive the asymptotically optimal transmit covariance matrices. Our simulation results show that the asymptotic analysis provides very close approximations for realistic system dimensions.

Connected through hyperedge HE-1 (induced by source paper "asymptotic analysis of rzf over double scattering channels with mmse estimation"):
  with members:
    - "massive mimo has unlimited capacity"
    - "multi cell massive mimo performance with double scattering channels"
    - "no downlink pilots are needed in tdd massive mimo"
    - "linear precoding based on polynomial expansion large scale multi cell mimo systems"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"
    - "achieving massive mimo spectral efficiency with a not so large number of antennas"
    - "random beamforming over quasi static and fading channels a deterministic equivalent approach"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"

Connected through hyperedge HE-2 (induced by source paper "multi cell massive mimo performance with double scattering channels"):
  with members:
    - "no downlink pilots are needed in tdd massive mimo"
    - "massive mimo ten myths and one critical question"
    - "capacity analysis for spatially non wide sense stationary uplink massive mimo systems"
    - "massive mimo in real propagation environments do all antennas contribute equally"
    - "aspects of favorable propagation in massive mimo"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "achieving massive mimo spectral efficiency with a not so large number of antennas"
    - "energy and spectral efficiency of very large multiuser mimo systems"

Connected through hyperedge HE-3 (induced by source paper "capacity analysis for spatially non wide sense stationary uplink massive mimo systems"):
  with members:
    - "massive mimo performance evaluation based on measured propagation data"
    - "massive mimo with non ideal arbitrary arrays hardware scaling laws and circuit aware design"
    - "massive mimo for next generation wireless systems"
    - "optimal design of energy efficient multi user mimo systems is massive mimo the answer"
    - "massive mimo for maximal spectral efficiency how many users and pilots should be allocated"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "a coordinated approach to channel estimation in large scale multiple antenna systems"
    - "achieving massive mimo spectral efficiency with a not so large number of antennas"

Connected through hyperedge HE-4 (induced by source paper "outage capacity of rayleigh product channels a free probability approach"):
  with members:
    - "from multi keyholes to measure of correlation and power imbalance in mimo channels outage capacity analysis"
    - "asymptotic capacity and optimal precoding in mimo multi hop relay networks"
    - "living at the edge a large deviations approach to the outage mimo capacity"
    - "finite snr diversity multiplexing tradeoff via asymptotic analysis of large mimo systems"
    - "diversity multiplexing tradeoff of double scattering mimo channels"
    - "capacity and character expansions moment generating function and other exact results for mimo correlated channels"
    - "approximately universal codes over slow fading channels"

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)