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 "using distributed rate splitting game to approach rate region boundary of the gaussian interference channel"):
  Abstract: Determining how to approach the rate boundary of the Gaussian interference channel in practical system is a big concern. In this paper, a distributed rate-splitting (DRS) scheme is proposed to approach the rate region boundary of the Gaussian interference channel. It is shown that the DRS scheme can be formulated as a non-cooperative game. We introduce the Stackelberg equilibrium (SE) with multiple leaders as the equilibrium point of the non-cooperative game. Therefore, an iterative multiple waterlevels water-filling algorithm (IML-WFA) is developed to efficiently reach the SE of the non-cooperative game. The existence of SE is established for the game. Numerical examples show that the rate-tuples achieved by the DRS are very close to the boundary of the well-known HK region.

Includes members:
  Member "the two user gaussian interference channel a deterministic view":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "dof region of the decentralized mimo broadcast channel unicode x2014 how many informed antennas do we need")
  Member "asymptotically optimal multiple access communication via distributed rate splitting":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sum rate maximization of uplink rate splitting multiple access rsma communication")
  Member "cooperative game theory and the gaussian interference channel":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "distributed learning for channel allocation over a shared spectrum")

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)