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 channel assignment in cognitive radio networks stable matching and walrasian equilibrium"):
  Abstract: We consider a set of secondary transmitter-receiver pairs in a cognitive radio setting. Based on channel sensing and access performances, we consider the problem of assigning channels orthogonally to secondary users through distributed coordination and cooperation algorithms. Two economic models are applied for this purpose: matching markets and competitive markets. In the matching market model, secondary users and channels build two agent sets. We implement a stable matching algorithm in which each secondary user, based on his achievable rate, proposes to the coordinator to be matched with desirable channels. The coordinator accepts or rejects the proposals based on the channel preferences which depend on interference from the secondary user. The coordination algorithm is of low complexity and can adapt to network dynamics. In the competitive market model, channels are associated with prices and secondary users are endowed with monetary budget. Each secondary user, based on his utility function and current channel prices, demands a set of channels. A Walrasian equilibrium maximizes the sum utility and equates the channel demand to their supply. We prove the existence of Walrasian equilibrium and propose a cooperative mechanism to reach it. The performance and complexity of the proposed solutions are illustrated by numerical simulations.

Includes members:
  Member "a context aware matching game for user association in wireless small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed user association in energy harvesting small cell networks a probabilistic bandit model")
  Member "distributed medium access control for energy efficient transmission in cognitive radios":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "deep multi user reinforcement learning for distributed dynamic spectrum access")
  Member "fully distributed optimal channel assignment for open spectrum access":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "distributed learning for channel allocation over a shared spectrum")
  Member "joint sensing and power allocation in nonconvex cognitive radio games nash equilibria and distributed algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "friendly jamming in a mimo wiretap interference network a nonconvex game approach")
  Member "exchange economy in two user multiple input single output interference channels":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "coalitional games in miso interference channels epsilon core and coalition structure stable set")

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)