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: "on the value of beamforming and coordination for spectrum sharing in mmwave cellular networks"
  Abstract: Spectrum sharing is not typically used in current cellular networks, because it only provides a slight performance improvement while requiring a heavy coordination among different cellular operators. However, these problems can be potentially overcome in millimeter wave (mmWave) networks, thanks to beamforming both at base stations and at user equipments. This paper investigates up to which extent spectrum sharing in mmWave networks with multiple cellular operators is a viable alternative to the traditional dedicated spectrum allocation. Specifically, we develop a general mathematical framework to characterize the performance gain that the users can experience by spectrum sharing as a function of the underlying beamforming, operator coordination, bandwidth, and infrastructure sharing scenarios. The framework is based on a joint beamforming and base station association optimization with the objective of maximizing the long-term throughput of the users. Asymptotic and non-asymptotic performance analysis reveals that 1) spectrum sharing with light on-demand intra- and inter-operator coordination is feasible, especially at higher mmWave frequencies (e.g., 73 GHz); 2) directional communications at the user equipments substantially alleviate the disadvantages of spectrum sharing; 3) larger number 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 equipments should be protected from the adverse effects of spectrum sharing, e.g., by exclusive resource allocation. The results of this paper can provide fundamental insights for future standardization and spectrum policy.

Connected through hyperedge HE-1 (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"
    - "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming"
    - "hybrid spectrum access for mmwave networks"
    - "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)