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: "a mean field game approach to scheduling in cellular systems"
  Abstract: We study auction-theoretic scheduling in cellular networks using the idea of mean field equilibrium (MFE). Here, agents model their opponents through a distribution over their action spaces and play the best response. The system is at an MFE if this action is itself a sample drawn from the assumed distribution. In our setting, the agents are smart phone apps that generate service requests, experience waiting costs, and bid for service from base stations. We show that if we conduct a second-price auction at each base station, there exists an MFE that would schedule the app with the longest queue at each time. The result suggests that auctions can attain the same desirable results as queue-length-based scheduling. We present results on the asymptotic convergence of a system with a finite number of agents to the mean field case, and conclude with simulation results illustrating the simplicity of computation of the MFE.

Connected through hyperedge HE-1 (induced by source paper "flowbazaar a market mediated software defined communications ecosystem at the wireless edge"):
  with members:
    - "qflow a reinforcement learning approach to high qoe video streaming over wireless networks"

Connected through hyperedge HE-2 (induced by source paper "distributed resource allocation in 5g cellular networks"):
  with members:
    - "distributed resource allocation for relay aided device to device communication a message passing approach"
    - "what will 5g be"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"
    - "emerging technologies and research challenges for 5g wireless networks"
    - "resource allocation for network integrated device to device communications using smart relays"
    - "refim a practical interference management in heterogeneous wireless access networks"

Connected through hyperedge HE-3 (induced by source paper "small scale markets for bilateral resource trading in the sharing economy"):
  with members:
    - "incentivizing sharing in realtime d2d streaming networks a mean field game perspective"
    - "the sharing economy for the smart grid"

Connected through hyperedge HE-4 (induced by source paper "incentivizing sharing in realtime d2d streaming networks a mean field game perspective"):
  with members:
    - "energy coupon a mean field game perspective on demand response in smart grids"
    - "a non monetary protocol for peer to peer content distribution in wireless broadcast networks with network coding"

Connected through hyperedge HE-5 (induced by source paper "mean field games in nudge systems for societal networks"):
  with members:
    - "incentivizing sharing in realtime d2d streaming networks a mean field game perspective"
    - "energy coupon a mean field game perspective on demand response in smart grids"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "incentive mechanisms for internet congestion management fixed budget rebate versus time of day pricing"
    - "equilibria of dynamic games with many players existence approximation and market structure"

Connected through hyperedge HE-6 (induced by source paper "energy coupon a mean field game perspective on demand response in smart grids"):
  with members:
    - "incentivizing sharing in realtime d2d streaming networks a mean field game perspective"
    - "integrating energy storage into the smart grid a prospect theoretic approach"
    - "incentive mechanisms for internet congestion management fixed budget rebate versus time of day pricing"

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.GT(Computer Science and Game Theory)