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 "real and complex monotone communication games"):
  Abstract: Noncooperative game-theoretic tools have been increasingly used to study many important resource allocation problems in communications, networking, smart grids, and portfolio optimization. In this paper, we consider a general class of convex Nash equilibrium problems (NEPs), where each player aims at solving an arbitrary smooth convex optimization problem. Differently from most of current works, we do not assume any specific structure for the players' problems, and we allow the optimization variables of the players to be matrices in the complex domain. Our main contribution is the design of a novel class of distributed (asynchronous) best-response-algorithms suitable for solving the proposed NEPs, even in the presence of multiple solutions. The new methods, whose convergence analysis is based on variational inequality (VI) techniques, can select, among all the equilibria of a game, those that optimize a given performance criterion, at the cost of limited signaling among the players. This is a major departure from existing best-response algorithms, whose convergence conditions imply the uniqueness of the NE. Some of our results hinge on the use of VI problems directly in the complex domain; the study of these new kind of VIs also represents a noteworthy innovative contribution. We then apply the developed methods to solve some new generalizations of Single Input Single Output (SISO) and Multiple Input Multiple Output (MIMO) games in cognitive radio systems, showing a considerable performance improvement over classical pure noncooperative schemes.

Includes members:
  Member "game theoretic methods for the smart grid":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "charging games in networks of electrical vehicles")
  Member "dynamic resource allocation in cognitive radio networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint power control and passive beamforming in irs assisted spectrum sharing")
  Member "the mimo iterative waterfilling algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "distributed power control with partial channel state information performance characterization and design")
  Member "optimal linear precoding strategies for wideband noncooperative systems based on game theory part i nash equilibria":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "large player games on wireless networks")
  Member "competitive design of multiuser mimo systems based on game theory a unified view":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "game theory for multi access edge computing survey use cases and future trends")
  Member "cognitive mimo radio":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "sense and predict harnessing spatial interference correlation for cognitive radio networks")
  Member "femtocell networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "robust resource allocation for pd noma based miso heterogeneous networks with comp technology")
  Member "distributed power allocation with rate constraints in gaussian parallel interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "game theoretic dynamic channel allocation for frequency selective interference channels")

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)