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 learning algorithms for spectrum sharing in spatial random access wireless networks"):
  Abstract: We consider distributed optimization over orthogonal collision channels in spatial random access networks. Users are spatially distributed and each user is in the interference range of a few other users. Each user is allowed to transmit over a subset of the shared channels with a certain attempt probability. We study both the non-cooperative and cooperative settings. In the former, the goal of each user is to maximize its own rate irrespective of the utilities of other users. In the latter, the goal is to achieve proportionally fair rates among users. Simple distributed learning algorithms are developed to solve these problems. The efficiencies of the proposed algorithms are demonstrated via both theoretical analysis and simulation results.

Includes members:
  Member "fast responsive decentralised graph colouring":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep multi user reinforcement learning for distributed dynamic spectrum access")
  Member "learning based constraint satisfaction with sensing restrictions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "spectrum intelligent radio technology development and future trends")
  Member "distributed game theoretic optimization and management of multichannel aloha networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deep learning based wireless resource allocation with application to vehicular networks")
  Member "distributed spectrum access with spatial reuse":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "game of ages")
  Member "cooperative game theory and the gaussian interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "distributed learning for channel allocation over a shared spectrum")
  Member "bargaining over the interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deep multi user reinforcement learning for distributed dynamic spectrum access")

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.NI(Networking and Internet Architecture)