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 pooling in mmwave networks opportunities challenges and enablers"
  Abstract: Motivated by the intrinsic characteristics of mmWave technologies, we discuss the possibility of an authorization regime that allows spectrum sharing between multiple operators, also referred to as spectrum pooling. In particular, considering user rate as the performance measure, we assess the benefit of coordination among the networks of different operators, study the impact of beamforming both at the base stations and at the user terminals, and analyze the pooling performance at different frequency carriers. We also discuss the enabling spectrum mechanisms, architectures, and protocols required to make spectrum pooling work in real networks. Our initial results show that, from a technical perspective, spectrum pooling at mmWave has the potential for a more efficient spectrum use than a traditional exclusive spectrum allocation to a single operator. However, further studies are needed in order to reach a thorough understanding of this matter, and we hope that this paper will help stimulate further research in this area.

Connected through hyperedge HE-1 (induced by source paper "spectrum sharing in mmwave cellular networks via cell association coordination and beamforming"):
  with members:
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "on the accuracy of interference models in wireless communications"
    - "distributed association and relaying with fairness in millimeter wave networks"
    - "towards an appropriate receiver beamforming scheme for millimeter wave communication a power consumption based comparison"
    - "hybrid spectrum access for mmwave networks"
    - "stochastic geometry modeling and analysis of multi tier millimeter wave cellular networks"
    - "limited feedback hybrid precoding for multi user millimeter wave systems"
    - "hybrid analog digital channel estimation and beamforming training throughput tradeoff"

Connected through hyperedge HE-2 (induced by source paper "gains of restricted secondary licensing in millimeter wave cellular systems"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "asymptotics and approximation of the sir distribution in general cellular networks"
    - "on the feasibility of sharing spectrum licenses in mmwave cellular systems"
    - "asymptotic deployment gain a simple approach to characterize the sinr distribution in general cellular networks"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "what will 5g be"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-3 (induced by source paper "spectrum and infrastructure sharing in millimeter wave cellular networks an economic perspective"):
  with members:
    - "the potential of resource sharing in 5g millimeter wave bands"
    - "resource sharing in 5g mmwave cellular networks"
    - "a sharing and competition aware framework for cellular network evolution planning"
    - "on the feasibility of sharing spectrum licenses in mmwave cellular systems"
    - "coverage and rate analysis for millimeter wave cellular networks"
    - "millimeter wave channel modeling and cellular capacity evaluation"
    - "on the role of infrastructure sharing for mobile network operators in emerging markets"
    - "the urge to merge when cellular service providers pool capacity"

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)