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: "asymptotic performance analysis of generalized user selection for interference limited multiuser secondary networks"
  Abstract: We analyze the asymptotic performance of a generalized multiuser diversity scheme for an interference-limited secondary multiuser network of underlay cognitive radio systems. Assuming a large number of secondary users (SUs) and that the noise at each SU’s receiver is negligible compared to the interference from the primary transmitter, the secondary transmitter (ST) transmits information to the    ${k}$   th best SU, namely, the one with the    ${k}$   th highest signal-to-interference ratio (SIR). We use extreme value theory to show that the    ${k}$   th highest SIR converges uniformly in distribution to an inverse gamma random variable for a fixed    ${k}$    and large number of SUs. We use this result to derive asymptotic expressions for the average throughput, effective throughput, average bit error rate and outage probability of the    ${k}$   th best SU under continuous power adaptation at the ST, which ensures satisfaction of the instantaneous interference constraint at the primary receiver caused by the ST. Numerical simulations show that our derived asymptotic expressions are accurate for different values of system parameters.

Connected through hyperedge HE-1 (induced by source paper "transmit power policy and ergodic multicast rate analysis of cognitive radio networks in generalized fading"):
  with members:
    - "asymptotic maximal order statistic for sir in κ μ shadowed fading"
    - "mimo underlay cognitive radio optimized power allocation effective number of transmit antennas and harvest transmit tradeoff"
    - "error vector magnitude analysis in generalized fading with co channel interference"
    - "outage probability and rate for kappa mu shadowed fading in interference limited scenario"
    - "coverage analysis in downlink poisson cellular network with kappa mu shadowed fading"
    - "relay selection improves the security reliability trade off in cognitive radio systems"
    - "spectrum sharing multi hop cooperative relaying performance analysis using extreme value theory"
    - "the effects of limited channel knowledge on cognitive radio system capacity"

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)