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: "an mgf based unified framework to determine the joint statistics of partial sums of ordered random variables"
  Abstract: Order statistics find applications in various areas of communications and signal processing. In this paper, we introduce an unified analytical framework to determine the joint statistics of partial sums of ordered random variables (RVs). With the proposed approach, we can systematically derive the joint statistics of any partial sums of ordered statistics, in terms of the moment generating function (MGF) and the probability density function (PDF). Our MGF-based approach applies not only when all the K ordered RVs are involved but also when only the Ks (Ks < K) best RVs are considered. In addition, we present the closed-form expressions for the exponential RV special case. These results apply to the performance analysis of various wireless communication systems over fading channels.

Connected through hyperedge HE-1 (induced by source paper "a universal splitting estimator for the performance evaluation of wireless communications systems"):
  with members:
    - "from a human centric perspective what might 6g be"
    - "mobile communication systems in the presence of fading shadowing noise and interference"
    - "ultra reliable communication in 5g wireless systems"

Connected through hyperedge HE-2 (induced by source paper "on the calculation of the incomplete mgf with applications to wireless communications"):
  with members:
    - "the kappa mu shadowed fading model with integer fading parameters"
    - "on the equivalence between interference and eavesdropping in wireless communications"
    - "secrecy capacity analysis over kappa mu fading channels theory and applications"
    - "mgf approach to the analysis of generalized two ray fading models"
    - "a new framework for the performance analysis of wireless communications under hoyt nakagami q fading"
    - "a unified mgf based capacity analysis of diversity combiners over generalized fading channels"

Connected through hyperedge HE-3 (induced by source paper "technical report finger replacement schemes for rake receivers in the soft handover region with multiple bss over i n d fading channels"):
  with members:
    - "an mgf based unified framework to determine the joint statistics of partial sums of ordered i n d random variables"

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)