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: "co primary multi operator resource sharing for small cell networks"
  Abstract: To tackle the challenge of providing higher data rates within limited spectral resources we consider the case of multiple operators sharing a common pool of radio resources. Four algorithms are proposed to address co-primary multi-operator radio resource sharing under heterogeneous traffic in both centralized and distributed scenarios. The performance of these algorithms is assessed through extensive system-level simulations for two indoor small cell layouts. It is assumed that the spectral allocations of the small cells are orthogonal to the macro network layer and thus, only the small cell traffic is modeled. The main performance metrics are user throughput and the relative amount of shared spectral resources. The numerical results demonstrate the importance of coordination among co-primary operators for an optimal resource sharing. Also, maximizing the spectrum sharing percentage generally improves the achievable throughput gains over non-sharing.

Connected through hyperedge HE-1 (induced by source paper "radio access network and spectrum sharing in mobile networks a stochastic geometry perspective"):
  with members:
    - "a primer on cellular network analysis using stochastic geometry"
    - "resource sharing in 5g mmwave cellular networks"
    - "on spectrum and infrastructure sharing in multi operator cellular networks"
    - "poisson hole process theory and applications to wireless networks"
    - "gains of restricted secondary licensing in millimeter wave cellular systems"
    - "technical rate of substitution of spectrum in future mobile broadband provisioning"
    - "on the feasibility of sharing spectrum licenses in mmwave cellular systems"
    - "effect of los nlos propagation on area spectral efficiency and energy efficiency of small cells"

Connected through hyperedge HE-2 (induced by source paper "caching in wireless small cell networks a storage bandwidth tradeoff"):
  with members:
    - "modeling and analysis of content caching in wireless small cell networks"
    - "adaptive replication in distributed content delivery networks"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "five disruptive technology directions for 5g"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "a tractable approach to coverage and rate in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "multi operator spectrum sharing for small cell networks a matching game perspective"):
  with members:
    - "resource allocation for co primary spectrum sharing in mimo networks"
    - "the impact of unlicensed access on small cell resource allocation"
    - "5g cellular key enabling technologies and research challenges"
    - "a tractable approach to coverage and rate in cellular networks"
    - "peer effects and stability in matching markets"

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)