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: "dual timescale spectrum management in wireless heterogeneous networks"
  Abstract: To attain the targeted data rates of next generation (5G) cellular networks requires dense deployment of small cells in addition to macro cells which provide wide coverage. Dynamic radio resource management (RRM) is crucial to the success of such heterogeneous networks due to much more pronounced traffic and interference variations in small cells. This work proposes a framework for spectrum management organized according to two timescales, which includes 1) centralized optimization on a second/minute timescale corresponding to typical durations of user sessions, and 2) distributed spectrum allocation on a millisecond timescale corresponding to typical latency requirements. The dual-timescale allocation is formulated as an optimization problem in the slower timescale with consideration of (distributed) opportunistic scheduling on the faster timescale. We consider both fixed and fully flexible user association. Iterative algorithms are developed to solve these optimization problems efficiently for a small cluster of cells. Simulation results demonstrate advantages of the dual-timescale RRM framework.

Connected through hyperedge HE-1 (induced by source paper "licensed and unlicensed spectrum allocation in heterogeneous networks"):
  with members:
    - "scalable spectrum allocation and user association in networks with many small cells"
    - "hybrid spectrum sharing in mmwave cellular networks"
    - "the impact of unlicensed access on small cell resource allocation"
    - "energy management in heterogeneous networks with cell activation user association and interference coordination"
    - "cell free massive mimo versus small cells"
    - "energy efficient cell activation user association and spectrum allocation in heterogeneous networks"
    - "small cell traffic balancing over licensed and unlicensed bands"
    - "allocation of licensed and unlicensed spectrum in heterogeneous networks"

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)