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: "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.

Connected through hyperedge HE-1 (induced by source paper "energy efficient resource allocation in machine to machine communications with multiple access and energy harvesting for iot"):
  with members:
    - "on user pairing in noma uplink"
    - "wireless energy harvesting in a cognitive relay network"
    - "power allocation and scheduling for swipt systems with non linear energy harvesting model"
    - "wireless powered communication opportunities and challenges"
    - "downlink power control in two tier cellular networks with energy harvesting small cells as stochastic games"
    - "power and load coupling in cellular networks for energy optimization"
    - "practical non linear energy harvesting model and resource allocation for swipt systems"
    - "optimizing data aggregation for uplink machine to machine communication networks"

Connected through hyperedge HE-2 (induced by source paper "distributed task management in cyber physical systems how to cooperate under uncertainty"):
  with members:
    - "distributed user association in energy harvesting small cell networks a probabilistic bandit model"
    - "minority games with applications to distributed decision making and control in wireless networks"
    - "distributed channel assignment in cognitive radio networks stable matching and walrasian equilibrium"
    - "secondary spectrum auctions for markets with communication constraints"
    - "stackelberg contention games in multiuser networks"

Connected through hyperedge HE-3 (induced by source paper "distributed user association in energy harvesting dense small cell networks a mean field multi armed bandit approach"):
  with members:
    - "distributed wireless power transfer with energy feedback"
    - "distributed user association in energy harvesting small cell networks a probabilistic bandit model"
    - "multi armed bandits with application to 5g small cells"
    - "user association in 5g networks a survey and an outlook"
    - "optimum transmission policies for energy harvesting sensor networks powered by a mobile control center"
    - "sum rate maximizing cell association via dual connectivity"
    - "multicast aware caching for small cell networks"
    - "evolution toward 5g multi tier cellular wireless networks an interference management perspective"

Connected through hyperedge HE-4 (induced by source paper "power availability aware cell association for energy harvesting small cell base stations"):
  with members:
    - "distributed user association in energy harvesting small cell networks a probabilistic bandit model"
    - "distributed multi relay selection in accumulate then forward energy harvesting relay networks"
    - "user association in 5g networks a survey and an outlook"
    - "online ski rental for on off scheduling of energy harvesting base stations"
    - "a survey of energy efficient techniques for 5g networks and challenges ahead"
    - "ambient rf energy harvesting in ultra dense small cell networks performance and trade offs"
    - "millimeter wave energy harvesting"
    - "relay selection in wireless powered cooperative networks with energy storage"

Connected through hyperedge HE-5 (induced by source paper "availability aware cell association for hybrid power supply networks with adaptive bias"):
  with members:
    - "grid energy consumption and qos tradeoff in hybrid energy supply wireless networks"
    - "power availability aware cell association for energy harvesting small cell base stations"
    - "comp meets smart grid a new communication and energy cooperation paradigm"
    - "energy harvesting small cell networks feasibility deployment and operation"
    - "what will 5g be"
    - "fundamentals of heterogeneous cellular networks with energy harvesting"
    - "offloading in heterogeneous networks modeling analysis and design insights"
    - "a tractable approach to coverage and rate in cellular networks"

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)