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: "state adaptive coded caching for symmetric broadcast channels"
  Abstract: Coded-caching delivery is considered over a symmetric noisy broadcast channel whose state is unknown at the transmitter during the cache placement phase. In particular, the delivery phase is modeled by a state-dependent broadcast channel where the state remains constant over each transmission block and is learned by the transmitter (and the receivers) only at the beginning of each block. A state-adaptive coded caching scheme is proposed that improves either on rate or decoding latency over two baseline schemes that are based on standard coded caching.

Connected through hyperedge HE-1 (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"
    - "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"
    - "cloud edge non orthogonal transmission for fog networks with delayed csi at the cloud"

Connected through hyperedge HE-2 (induced by source paper "cache aided communications with multiple antennas at finite snr"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the optimality of separation between caching and delivery in general cache networks"
    - "scalable content delivery with coded caching in multi antenna fading channels"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "improved converses and gap results for coded caching"
    - "multi antenna coded caching"
    - "noisy broadcast networks with receiver caching"
    - "content delivery in erasure broadcast channels with cache and feedback"

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)