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 "game theory for signal processing in networks"):
  Abstract: In this tutorial, the basics of game theory are introduced along with an overview of its most recent and emerging applications in signal processing. One of the main features of this contribution is to gather in a single paper some fundamental game-theoretic notions and tools which, over the past few years, have become widely spread over a large number of papers. In particular, both strategic-form and coalition-form games are described in details while the key connections and differences between them are outlined. Moreover, a particular attention is also devoted to clarify the connections between strategic-form games and distributed optimization and learning algorithms. Beyond an introduction to the basic concepts and main solution approaches, several carefully designed examples are provided to allow a better understanding of how to apply the described tools.

Includes members:
  Member "understanding game theory via wireless power control":
    also connected through other hyperedges:
      (none)
  Member "crawford sobel meet lloyd max on the grid":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the number of bins in equilibria for signaling games")
  Member "coalitional games in miso interference channels epsilon core and coalition structure stable set":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed clustering for multiuser networks through coalition formation")
  Member "multiobjective signal processing optimization the way to balance conflicting metrics in 5g systems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "joint dynamic pricing and radio resource allocation framework for iot services")
  Member "distributed cooperative sensing in cognitive radio networks an overlapping coalition formation approach":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "game theory for multi access edge computing survey use cases and future trends")
  Member "distributed adaptive networks a graphical evolutionary game theoretic view":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a graphical evolutionary game approach to social learning")
  Member "jamming games in the mimo wiretap channel with an active eavesdropper":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "cell free massive mimo networks optimal power control against active eavesdropping")
  Member "distributed learning policies for power allocation in multiple access channels":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "low complexity distributed radio access network slicing algorithms and experimental results")

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)