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: "multi user diversity with random number of users"
  Abstract: Multi-user diversity (MUD) is considered when the number of users in the system is random. Average throughput of a MUD system is shown to have a completely monotone derivative with respect to (deterministic) number of users. Following this, randomization of number of users is shown to give degraded throughput averaged across the number of users distribution. Using stochastic ordering theory, a framework for comparison of performance for different user distributions is provided. For Poisson distributed number of users communicating over Rayleigh faded channels, long-term average throughput is shown to scale as a double logarithmic function of average number of users.

Connected through hyperedge HE-1 (induced by source paper "multiuser energy diversity in energy harvesting wireless communications"):
  with members:
    - "distributed opportunistic scheduling for energy harvesting based wireless networks a two stage probing approach"
    - "energy harvesting wireless communications a review of recent advances"
    - "spatial throughput of mobile ad hoc networks powered by energy harvesting"
    - "throughput maximization for the gaussian relay channel with energy harvesting constraints"
    - "fundamentals of heterogeneous cellular networks with energy harvesting"
    - "internet of things iot a vision architectural elements and future directions"
    - "optimal energy allocation for wireless communications with energy harvesting constraints"
    - "transmission with energy harvesting nodes in fading wireless channels optimal policies"

Connected through hyperedge HE-2 (induced by source paper "cognitive radio with random number of secondary number of users"):
  with members:
    - "multiuser diversity gain in cognitive networks"
    - "investigation on multiuser diversity in spectrum sharing based cognitive radio networks"

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)