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: "evolutionarily stable spectrum access"
  Abstract: In this paper, we design distributed spectrum access mechanisms with both complete and incomplete network information. We propose an evolutionary spectrum access mechanism with complete network information, and show that the mechanism achieves an equilibrium that is globally evolutionarily stable. With incomplete network information, we propose a distributed learning mechanism, where each user utilizes local observations to estimate the expected throughput and learns to adjust its spectrum access strategy adaptively over time. We show that the learning mechanism converges to the same evolutionary equilibrium on the time average. Numerical results show that the proposed mechanisms are robust to the perturbations of users' channel selections.

Connected through hyperedge HE-1 (induced by source paper "dynamic model for network selection in next generation hetnets with memory affecting rational users"):
  with members:
    - "a learning based coexistence mechanism for laa lte based hetnets"
    - "energy minimization for wireless communication with rotary wing uav"
    - "blocking probability and spatial throughput characterization for cellular enabled uav network with directional antenna"
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "green 5g heterogeneous networks through dynamic small cell operation"
    - "physical layer security in millimeter wave cellular networks"
    - "5g ultra dense cellular networks"
    - "tractable model for rate in self backhauled millimeter wave cellular networks"

Connected through hyperedge HE-2 (induced by source paper "spectrum investment under uncertainty a behavioral economics perspective"):
  with members:
    - "prospect pricing in cognitive radio networks"
    - "understanding mobile traffic patterns of large scale cellular towers in urban environment"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "dynamic profit maximization of cognitive mobile virtual network operator"
    - "investment and pricing with spectrum uncertainty a cognitive operator s perspective"

Connected through hyperedge HE-3 (induced by source paper "dynamic spectrum access in time varying environment distributed learning beyond expectation optimization"):
  with members:
    - "a game theoretic perspective on self organizing optimization for cognitive small cells"
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"
    - "multi agent q learning of channel selection in multi user cognitive radio systems a two by two case"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "adaptive channel allocation spectrum etiquette for cognitive radio networks"

Connected through hyperedge HE-4 (induced by source paper "dynamic spectrum access with statistical qos provisioning a distributed learning approach beyond expectation optimization"):
  with members:
    - "coalitional games in partition form for joint spectrum sensing and access in cognitive radio networks"
    - "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"
    - "multi agent q learning of channel selection in multi user cognitive radio systems a two by two case"
    - "effective capacity analysis of cognitive radio channels for quality of service provisioning"
    - "adaptive channel allocation spectrum etiquette for cognitive radio networks"

Connected through hyperedge HE-5 (induced by source paper "quality of service games for spectrum sharing"):
  with members:
    - "distributed spectrum access with spatial reuse"
    - "quality of service provisioning in decentralized networks a satisfaction equilibrium approach"
    - "adaptive channel recommendation for opportunistic spectrum access"

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)