human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "centralized distributed spectrum access for small cell networks a cloud based game solution"
  Abstract: By employing the advances in wireless cloud technologies, this letter establishes a centralized-distributed optimization architecture for spectrum access in small cell networks. In the centralized aspect, the spectrum access problem is solved in the cloud. In the distributed aspect, the problem is solved by a game-theoretic solution, aiming to address the challenges of heavy computation complexity caused by the densely deployed small cells. The properties of the game, including the existence of pure Nash equilibrium and the achievable lower bound, are rigorously proved and analyzed. Furthermore, a cloud-assisted best response learning algorithm with low computational complexity is proposed, which converges to the global or local optima of the aggregate interference level of the small cell network. It is shown that the cloud-assisted algorithm converges rapidly and is scalable when increasing the number of small cells. Finally, simulation results are presented to validate the proposed cloud-based centralized-distributed solution.

Connected through hyperedge HE-1 (induced by source paper "a comprehensive survey of potential game approaches to wireless networks"):
  with members:
    - "decentralized computation offloading game for mobile cloud computing"
    - "database assisted spectrum access in dynamic networks a distributed learning solution"
    - "joint channel selection and power control in infrastructureless wireless networks a multiplayer multiarmed bandit framework"
    - "distributed learning algorithms for spectrum sharing in spatial random access wireless networks"
    - "spatial spectrum access game"
    - "joint access point selection and power allocation for uplink wireless networks"
    - "database assisted distributed spectrum sharing"
    - "cooperative topology control with adaptation for improved lifetime in wireless sensor networks"

Connected through hyperedge HE-2 (induced by source paper "a qos aware novel probabilistic strategy for dynamic resource allocation"):
  with members:
    - "load aware dynamic spectrum access for small cell networks a graphical game approach"
    - "an alternating direction method approach to cloud traffic management"

Question: Please tell me which class the center node 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)