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: "allocation of licensed and unlicensed spectrum in heterogeneous networks"
  Abstract: As the traffic load in cellular networks grows rapidly, future generation cellular networks will involve multiple radio access technologies (RATs) over different frequency bands. This paper studies the spectrum allocation problem in heterogeneous networks (HetNets) with multiple RATs over different bands using the average packet sojourn time as performance metric. The framework developed recently in [1] is generalized to incorporate multiple RATs. In contrast to the licensed band, the queueing model for the unlicensed band captures the lower spectral efficiency, reliability, and additional delay due to contention and/or listen-before-talk requirements. Under mild assumptions, we formulate the spectrum allocation problem as a convex optimization problem. Solving this problem gives an effective and efficient solution for user association and spectrum allocation over multiple RATs. Simulation results show that in the heavy-traffic regime, the proposed scheme significantly outperforms both orthogonal spectrum allocation and full-frequency-reuse allocation. In addition, the optimal solution to the optimization problem matches the intuition that users with relatively high traffic demand are mostly assigned to licensed spectrum, while those with low traffic demand and less interference are assigned to unlicensed spectrum.

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"
    - "dual timescale spectrum management in wireless heterogeneous networks"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "sharing of unlicensed spectrum by strategic operators"):
  with members:
    - "licensed and unlicensed spectrum allocation in heterogeneous networks"
    - "coordination protocol for inter operator spectrum sharing in co primary 5g small cell networks"
    - "non cooperative game for capacity offload"

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.NI(Networking and Internet Architecture)