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: "rician k factor based analysis of xlos service probability in 5g outdoor ultra dense networks"
  Abstract: In this report, we introduce the concept of Rician $K$-factor-based radio resource and mobility management for fifth generation (5G) ultra-dense networks (UDN), where the information on the gradual visibility between the new radio node B (gNB) and the user equipment (UE)---dubbed X-line-of-sight (XLOS)---would be required. We therefore start by presenting the XLOS service probability as a new performance indicator; taking into account both the UE serving and neighbor cells. By relying on a lognormal $K$-factor model, a closed-form expression of the XLOS service probability in a 5G outdoor UDN is derived in terms of the multivariate Fox H-function; wherefore we develop a GPU-enabled MATLAB routine and automate the definition of the underlying Mellin-Barnes contour via linear optimization. Residue theory is then applied to infer the relevant asymptotic behavior and show its practical implications. Finally, numerical results are provided for various network configurations, and underpinned by extensive Monte-Carlo simulations.

Connected through hyperedge HE-1 (induced by source paper "distribution of the sum of fisher snedecor mathcal f random variables and its applications"):
  with members:
    - "on the statistics of the ratio of non constrained arbitrary alpha mu random variables a general framework and applications"
    - "on the multivariate gamma gamma distribution with arbitrary correlation and applications in wireless communications"
    - "on the ergodic capacity of mimo free space optical systems over turbulence channels"
    - "analysis of energy efficiency in fading channels under qos constraints"

Connected through hyperedge HE-2 (induced by source paper "on physical layer security over fox s h function wiretap fading channels"):
  with members:
    - "performance analysis of project and forward relaying in mixed mimo pinhole and rayleigh dual hop channel"
    - "secrecy capacity analysis over kappa mu fading channels theory and applications"
    - "a novel unified expression for the capacity and bit error probability of wireless communication systems over generalized fading channels"

Connected through hyperedge HE-3 (induced by source paper "a comprehensive performance evaluation of a df based multi hop system over alpha kappa mu and alpha kappa mu extreme fading channels"):
  with members:
    - "on the capacity of decode and forward relaying over rician fading channels"
    - "on the monotonicity log concavity and tight bounds of the generalized marcum and nuttall q functions"

Connected through hyperedge HE-4 (induced by source paper "classification algorithms for semi blind uplink downlink decoupling in sub 6 ghz mmwave 5g networks"):
  with members:
    - "csi based outdoor localization for massive mimo experiments with a learning approach"
    - "machine learning for reliable mmwave systems blockage prediction and proactive handoff"
    - "integrated millimeter wave and sub 6 ghz wireless networks a roadmap for ultra reliable low latency communications"
    - "deep q learning for self organizing networks fault management and radio performance improvement"
    - "downlink cellular network analysis with los nlos propagation and elevated base stations"
    - "scikit learn machine learning in python"

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)