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: "cloud edge non orthogonal transmission for fog networks with delayed csi at the cloud"
  Abstract: In a Fog Radio Access Network (F-RAN), the cloud processor (CP) collects channel state information (CSI) from the edge nodes (ENs) over fronthaul links. As a result, the CSI at the cloud is generally affected by an error due to outdating. In this work, the problem of content delivery based on fronthaul transmission and edge caching is studied from an information-theoretic perspective in the high signal-to-noise ratio (SNR) regime. For the set-up under study, under the assumption of perfect CSI, prior work has shown the (approximate or exact) optimality of a scheme in which the ENs transmit information received from the cloud and cached contents over orthogonal resources. In this work, it is demonstrated that a non-orthogonal transmission scheme is able to substantially improve the latency performance in the presence of imperfect CSI at the cloud.

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"
    - "information theoretic analysis of d2d aided pipelined content delivery in fog ran"
    - "cache aided fog radio access networks with partial connectivity"
    - "fundamental latency limits for d2d aided content delivery in fog wireless networks"
    - "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 "centralized and decentralized cache aided interference management in heterogeneous parallel channels"):
  with members:
    - "on the separability of parallel miso broadcast channels under partial csit a degrees of freedom region perspective"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "state adaptive coded caching for symmetric broadcast channels"
    - "on the capacity region of a cache aided gaussian broadcast channel with multi layer messages"
    - "storage latency trade off in cache aided fog radio access networks"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "the role of caching in future communication systems and networks"
    - "fundamental limits of decentralized caching in fog rans with wireless fronthaul"

Connected through hyperedge HE-3 (induced by source paper "wireless map reduce distributed computing with full duplex radios and imperfect csi"):
  with members:
    - "speeding up distributed machine learning using codes"
    - "speeding up distributed gradient descent by utilizing non persistent stragglers"
    - "a storage computation communication tradeoff for distributed computing"
    - "coded distributed computing with node cooperation substantially increases speedup factors"
    - "data shuffling in wireless distributed computing via low rank optimization"
    - "improved latency communication trade off for map shuffle reduce systems with stragglers"
    - "wireless mapreduce distributed computing"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"

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)