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: "information theoretic analysis of d2d aided pipelined content delivery in fog ran"
  Abstract: In a Fog-Radio Access Network (F-RAN), edge caching and fronthaul connectivity to a cloud processor are utilized for the purpose of content delivery. Additional Device-to-Device (D2D) communication capabilities can support the operation of an F - RAN by alleviating fronthaul and cloud processing load, and reducing the delivery time. In this work, basic limits on the normalized delivery time (NDT) metric, which captures the high signal-to-noise ratio worst-case latency for delivering any requested content to the users, are derived. Assuming proactive offline caching, out-of-band D2D communication, and an F-RAN with two edge nodes and two users, an information-theoretically optimal caching and delivery strategy is presented. Unlike prior work, the NDT performance is studied under pipelined transmission, whereby the edge nodes transmit on the wireless channel while simultaneously receiving messages over the fronthaul links, and the users transmit messages over the D2D links while at the same time receiving on the wireless channel. Insights are provided on the regimes in which D2D communication is beneficial, and the maximum improvement to the latency is characterized.

Connected through hyperedge HE-1 (induced by source paper "how much can d2d communication reduce content delivery latency in fog networks with edge caching"):
  with members:
    - "cloud aided interference management with cache enabled edge nodes and users"
    - "delivery time minimization in cache assisted broadcast relay wireless networks with imperfect csi"
    - "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"
    - "cache aided fog radio access networks with partial connectivity"
    - "fundamental latency limits for d2d aided content delivery in fog wireless networks"
    - "cloud edge non orthogonal transmission for fog networks with delayed csi at the cloud"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"

Connected through hyperedge HE-2 (induced by source paper "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"):
  with members:
    - "device to device private caching with trusted server"
    - "on the optimality of d2d coded caching with uncoded cache placement and one shot delivery"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "coded caching with linear subpacketization is possible using ruzsa szem eredi graphs"
    - "on the placement delivery array design for coded caching scheme in d2d networks"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "towards practical file packetizations in wireless device to device caching networks"
    - "centralized coded caching schemes a hypergraph theoretical approach"

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)