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 "joint dynamic pricing and radio resource allocation framework for iot services"):
  Abstract: In this paper, we study the problem of resource allocation as well as pricing in the context of Internet of things (IoT) networks. We provide a novel pricing model for IoT services where all the parties involved in the communication scenario as well as their revenue and cost are determined. We formulate the resource allocation in the considered model as a multi-objective optimization problem where in addition to the resource allocation variables, the price values are also optimization variables. To solve the proposed multi-objective optimization problem, we use the scalarization method which gives different Pareto optimal solutions. We solve the resulting problems using the alternating approach based on the successive convex approximation (SCA) method which converges to a local solution with few iterations. We also consider a conventional approach where each entity tries to maximize its own revenue independently. Simulation results indicate that by applying the proposed joint framework, we can increase the total revenue compared to the conventional case while providing an almost complete fairness among the players. This is while the conventional approach fails to provide such a fairness.

Includes members:
  Member "adaptive and resilient revenue maximizing dynamic resource allocation and pricing for cloud enabled iot systems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "optimal two sided market mechanism design for large scale data sharing and trading in massive iot networks")
  Member "computing resource allocation in three tier iot fog networks a joint optimization approach combining stackelberg game and matching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed resource allocation for network slicing of bandwidth and computational resource")
  Member "toward hierarchical mobile edge computing an auction based profit maximization approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "all one needs to know about fog computing and related edge computing paradigms a complete survey")
  Member "market model and optimal pricing scheme of big data and internet of things iot":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a crowdsourcing framework for on device federated learning")
  Member "mobile data transactions in device to device communication networks pricing and auction":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "thirty years of machine learning the road to pareto optimal next generation wireless networks")
  Member "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "coded caching in fog ran b matching approach")
  Member "price based resource allocation for spectrum sharing femtocell networks a stackelberg game approach":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "dynamic pricing for revenue maximization in mobile social data market with network effects")

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.IT(Information Theory)