human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "distributed user association in energy harvesting small cell networks an exchange economy with uncertainty"):
  Abstract: We consider a user association problem in the downlink of a small cell network, where small cells are powered solely through ambient energy harvesting. Since energy harvesting is opportunistic in nature, the amount of harvested energy is a random variable, without  a priori  known statistical characteristics. Thus, at the time of user association, the amount of available energy is unknown. We model the network as a competitive market with uncertainty, where self-interested small cells, modeled as consumers, are willing to maximize their utility scores by selecting users, represented as commodities. The utility scores of small cells depend on the random amount of harvested energy, formulated as nature’s state. For this model we prove the existence of Arrow-Debreu equilibrium. In addition, we analyze the equilibrium with respect to uniqueness, Pareto-efficiency, and social-optimality. Moreover, based on the Walras’ tatonnoment process and the static knapsack problem, we develop an efficient distributed user association scheme which converges to the equilibrium. We demonstrate the effectiveness of our proposed model through intensive numerical analysis.

Includes members:
  Member "distributed user association in energy harvesting small cell networks a probabilistic bandit model":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "energy efficient optimization of wireless powered 5g full duplex cellular networks a mean field game approach")
  Member "distributed user association in energy harvesting dense small cell networks a mean field multi armed bandit approach":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning and fairness in energy harvesting a maximin multi armed bandits approach")
  Member "user association in 5g networks a survey and an outlook":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a tutorial on beam management for 3gpp nr at mmwave frequencies")
  Member "cooperative interference mitigation and handover management for heterogeneous cloud small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an edge computing empowered radio access network with uav mounted fso fronthaul and backhaul key challenges and approaches")
  Member "optimizing user association and spectrum allocation in hetnets a utility perspective":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "resource allocation in green dense cellular networks complexity and algorithms")
  Member "distributed channel assignment in cognitive radio networks stable matching and walrasian equilibrium":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "distributed learning for channel allocation over a shared spectrum")
  Member "a context aware matching game for user association in wireless small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "distributed user association in energy harvesting small cell networks a probabilistic bandit model")
  Member "matching theory for priority based cell association in the downlink of wireless small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "early acceptance matching game for user association in 5g cellular hetnet")

Question: Please tell me which class the source paper 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)