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: "the synergistic gains of coded caching and delayed feedback"
  Abstract: In this paper, we consider the $K$-user cache-aided wireless MISO broadcast channel (BC) with random fading and delayed CSIT, and identify the optimal cache-aided degrees-of-freedom (DoF) performance within a factor of 4. The achieved performance is due to a scheme that combines basic coded-caching with MAT-type schemes, and which efficiently exploits the prospective-hindsight similarities between these two methods. This delivers a powerful synergy between coded caching and delayed feedback, in the sense that the total synergistic DoF-gain can be much larger than the sum of the individual gains from delayed CSIT and from coded caching. #R##N#The derived performance interestingly reveals --- for the first time --- substantial DoF gains from coded caching, even when the (normalized) cache size $\gamma$ (fraction of the library stored at each receiving device) is very small. Specifically, a microscopic $\gamma \approx e^{-G}$ can come within a factor of $G$ from the interference-free optimal. For example, storing at each device only a \emph{thousandth} of what is deemed as `popular' content ($\gamma\approx 10^{-3}$), we approach the interference-free optimal within a factor of $ln(10^3) \approx 7$ (per user DoF of $1/7$), for any number of users. This result carries an additional practical ramification as it reveals how to use coded caching to essentially buffer CSI, thus partially ameliorating the burden of having to acquire real-time CSIT.

Connected through hyperedge HE-1 (induced by source paper "feedback aided coded caching for the miso bc with small caches"):
  with members:
    - "optimal sum dof of the k user miso bc with current and delayed feedback"
    - "information theoretic caching sequential coding for computing"
    - "joint cache channel coding over erasure broadcast channels"
    - "critical database size for effective caching"
    - "on the benefits of edge caching for mimo interference alignment"
    - "finite length analysis of caching aided coded multicasting"
    - "a transfer learning approach for cache enabled wireless networks"
    - "effect of number of users in multi level coded caching"

Connected through hyperedge HE-2 (induced by source paper "on storage allocation in cache enabled interference channels with mixed csit"):
  with members:
    - "fundamental limits of cache aided interference management"
    - "complete interference mitigation through receiver caching in wyner s networks"
    - "fundamental limits of cache aided wireless bc interplay of coded caching and csit feedback"
    - "cache aided interference channels"
    - "caching at the edge a green perspective for 5g networks"
    - "multi server coded caching"
    - "hierarchical coded caching"
    - "fundamental limits of caching in wireless d2d networks"

Connected through hyperedge HE-3 (induced by source paper "fundamental limits of cache aided wireless bc interplay of coded caching and csit feedback"):
  with members:
    - "fundamental tradeoff between storage and latency in cache aided wireless interference networks"
    - "degrees of freedom of cache aided wireless interference networks"
    - "optimal sum dof of the k user miso bc with current and delayed feedback"
    - "optimal dof of the k user broadcast channel with delayed and imperfect current csit"
    - "achieving full dof in heterogeneous parallel broadcast channels with outdated csit"
    - "information theoretic caching sequential coding for computing"
    - "joint cache channel coding over erasure broadcast channels"
    - "critical database size for effective caching"

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)