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: "coded multicast fronthauling and edge caching for multi connectivity transmission in fog radio access networks"
  Abstract: This work studies the advantages of coded multicasting for the downlink of a Fog Radio Access Network (F-RAN) system equipped with a multicast fronthaul link. In this system, a control unit (CU) in the baseband processing unit (BBU) pool is connected to distributed edge nodes (ENs) through a multicast fronthaul link of finite capacity, and the ENs have baseband processing and caching capabilities. Each user equipment (UE) requests a file in a content library which is available at the CU, and the requested files are served by the closest ENs based on the cached contents and on the information received on the multicast fronthaul link. The performance of coded multicast fronthauling is investigated in terms of the delivery latency of the requested contents under the assumption of pipelined transmission on the fronthaul and edge links and of single-user encoding and decoding strategies based on the hard transfer of files on the fronthaul links. Extensive numerical results are provided to validate the advantages of the coded multicasting scheme compared to uncoded unicast and multicast strategies.

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"
    - "cloud edge non orthogonal transmission for fog networks with delayed csi at the cloud"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"

Connected through hyperedge HE-2 (induced by source paper "joint fronthaul multicast and cooperative beamforming for cache enabled cloud based small cell networks an mds codes aided approach"):
  with members:
    - "joint long term cache allocation and short term content delivery in green cloud small cell networks"
    - "layered group sparse beamforming for cache enabled green wireless networks"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "joint optimization of user association data delivery rate and precoding for cache enabled f rans"
    - "optimizing mds coded caching in wireless networks with device to device communication"
    - "delivery time minimization in edge caching synergistic benefits of subspace alignment and zero forcing"
    - "fronthauling for 5g lte u ultra dense cloud small cell networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"

Connected through hyperedge HE-3 (induced by source paper "updating content in cache aided coded multicast"):
  with members:
    - "centralized coded caching of correlated contents"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "cache aided coded multicast for correlated sources"
    - "adaptive caching networks with optimality guarantees"
    - "coded caching with nonuniform demands"
    - "decentralized coded caching attains order optimal memory rate tradeoff"
    - "fundamental limits of caching"
    - "minimum cost multicast over coded packet networks"

Connected through hyperedge HE-4 (induced by source paper "edge caching wireless networks performance analysis and optimization"):
  with members:
    - "wireless device to device caching networks basic principles and system performance"
    - "wireless content caching for small cell and d2d networks"
    - "energy efficiency of downlink networks with caching at base stations"
    - "coded caching for networks with the resolvability property"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "joint caching routing and channel assignment for collaborative small cell cellular networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "cache aided wireless networks tradeoffs between storage and latency"

Connected through hyperedge HE-5 (induced by source paper "edge caching wireless networks energy efficient design and optimization"):
  with members:
    - "wireless device to device caching networks basic principles and system performance"
    - "octopus a cooperative hierarchical caching strategy for cloud radio access networks"
    - "wireless content caching for small cell and d2d networks"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "joint caching routing and channel assignment for collaborative small cell cellular networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "cache aided wireless networks tradeoffs between storage and latency"
    - "analysis on cache enabled wireless heterogeneous networks"

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)