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: "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming"
  Abstract: This paper investigates the extent to which spectrum sharing in millimeter-wave (mmWave) networks with multiple cellular operators is a viable alternative to traditional dedicated spectrum allocation. Specifically, we develop a general mathematical framework to characterize the performance gain that can be obtained when spectrum sharing is used, as a function of the underlying beamforming, operator coordination, bandwidth, and infrastructure sharing scenarios. The framework is based on joint beamforming and cell association optimization, with the objective of maximizing the long-term throughput of the users. Our asymptotic and non-asymptotic performance analyses reveal five key points: 1) spectrum sharing with light on-demand intra- and inter-operator coordination is feasible, especially at higher mmWave frequencies (for example, 73 GHz); 2) directional communications at the user equipment substantially alleviate the potential disadvantages of spectrum sharing (such as higher multiuser interference); 3) large numbers of antenna elements can reduce the need for coordination and simplify the implementation of spectrum sharing; 4) while inter-operator coordination can be neglected in the large-antenna regime, intra-operator coordination can still bring gains by balancing the network load; and 5) critical control signals among base stations, operators, and user equipment should be protected from the adverse effects of spectrum sharing, for example by means of exclusive resource allocation. The results of this paper, and their extensions obtained by relaxing some ideal assumptions, can provide important insights for future standardization and spectrum policy.

Connected through hyperedge HE-1 (induced by source paper "a hybrid model based and data driven approach to spectrum sharing in mmwave cellular networks"):
  with members:
    - "how to escape saddle points efficiently"
    - "modeling infrastructure sharing in mmwave networks with shared spectrum licenses"
    - "alternating minimization algorithms for hybrid precoding in millimeter wave mimo systems"
    - "subspace estimation and decomposition for large millimeter wave mimo systems"
    - "sum rate maximization in sub 28 ghz millimeter wave mimo interfering networks"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "the transitional behavior of interference in millimeter wave networks and its impact on medium access control"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-2 (induced by source paper "machine learning for wireless communications in the internet of things a comprehensive survey"):
  with members:
    - "helper heterogeneous efficient low power radio for enabling ad hoc emergency public safety networks"
    - "intelligent power control for spectrum sharing in cognitive radios a deep reinforcement learning approach"
    - "over the air deep learning based radio signal classification"
    - "a non parametric multi stage learning framework for cognitive spectrum access in iot networks"
    - "qarc video quality aware rate control for real time video streaming based on deep reinforcement learning"
    - "cognitive non orthogonal multiple access with cooperative relaying a new wireless frontier for 5g spectrum sharing"
    - "a survey of machine and deep learning methods for internet of things iot security"
    - "fog computing survey of trends architectures requirements and research directions"

Connected through hyperedge HE-3 (induced by source paper "big data goes small real time spectrum driven embedded wireless networking through deep learning in the rf loop"):
  with members:
    - "over the air deep learning based radio signal classification"
    - "cognitive non orthogonal multiple access with cooperative relaying a new wireless frontier for 5g spectrum sharing"
    - "an introduction to deep learning for the physical layer"
    - "deep learning for wireless physical layer opportunities and challenges"
    - "learning to detect and mitigate cross layer attacks in wireless networks framework and applications"
    - "deep architectures for modulation recognition"
    - "end to end learning from spectrum data a deep learning approach for wireless signal identification in spectrum monitoring applications"
    - "identity mappings in deep residual networks"

Connected through hyperedge HE-4 (induced by source paper "on the energy efficiency of mimo hybrid beamforming for millimeter wave systems with nonlinear power amplifiers"):
  with members:
    - "spatial characteristics of distortion radiated from antenna arrays with transceiver nonlinearities"
    - "codebook based hybrid precoding for millimeter wave multiuser systems"
    - "common codebook millimeter wave beam design designing beams for both sounding and communication with uniform planar arrays"
    - "waveforms for the massive mimo downlink amplifier efficiency distortion and performance"
    - "hybrid mimo architectures for millimeter wave communications phase shifters or switches"
    - "channel estimation and hybrid precoding for millimeter wave cellular systems"
    - "massive mimo systems with non ideal hardware energy efficiency estimation and capacity limits"
    - "training sequence design for feedback assisted hybrid beamforming in massive mimo systems"

Connected through hyperedge HE-5 (induced by source paper "inter operator base station coordination in spectrum shared millimeter wave cellular networks"):
  with members:
    - "coverage analysis for millimeter wave networks the impact of directional antenna arrays"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "resource sharing in 5g mmwave cellular networks"
    - "spectrum and infrastructure sharing in millimeter wave cellular networks an economic perspective"
    - "channel estimation for millimeter wave massive mimo with hybrid precoding over frequency selective fading channels"
    - "a comparison of mimo techniques in downlink millimeter wave cellular networks with hybrid beamforming"
    - "cooperative base station coloring for pair wise multi cell coordination"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"

Connected through hyperedge HE-6 (induced by source paper "hybrid spectrum sharing in mmwave cellular networks"):
  with members:
    - "stochastic geometric coverage analysis in mmwave cellular networks with a realistic channel model"
    - "resource sharing in 5g mmwave cellular networks"
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "spectrum and infrastructure sharing in millimeter wave cellular networks an economic perspective"
    - "understanding noise and interference regimes in 5g millimeter wave cellular networks"
    - "hybrid spectrum access for mmwave networks"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"
    - "on the value of beamforming and coordination for spectrum sharing in mmwave cellular networks"

Connected through hyperedge HE-7 (induced by source paper "modeling co location in multi operator mmwave networks with spectrum sharing"):
  with members:
    - "inter operator base station coordination in spectrum shared millimeter wave cellular networks"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "quantifying the benefits of infrastructure sharing"
    - "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly"
    - "a primer on cellular network analysis using stochastic geometry"
    - "resource sharing in 5g mmwave cellular networks"
    - "investigation of prediction accuracy sensitivity and parameter stability of large scale propagation path loss models for 5g wireless communications"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"

Connected through hyperedge HE-8 (induced by source paper "modeling infrastructure sharing in mmwave networks with shared spectrum licenses"):
  with members:
    - "inter operator base station coordination in spectrum shared millimeter wave cellular networks"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "quantifying the benefits of infrastructure sharing"
    - "resource sharing among mmwave cellular service providers in a vertically differentiated duopoly"
    - "a primer on cellular network analysis using stochastic geometry"
    - "resource sharing in 5g mmwave cellular networks"
    - "investigation of prediction accuracy sensitivity and parameter stability of large scale propagation path loss models for 5g wireless communications"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"

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)