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: "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
  Abstract: In this paper, we propose a new design framework on Device-to-Device (D2D) coded caching networks with optimal rate but significantly less file subpacketizations compared to that of the well-known D2D coded caching scheme proposed by Ji, Caire and Molisch (JCM). The proposed design framework is referred to as the {\em Packet Type-based (PTB) design}, where D2D users are first partitioned into multiple groups, which leads to a so-called {\em raw packet saving gain}. Then the corresponding multicasting group types and packet types are specified based on the prescribed node partition. By a careful selection of transmitters within each multicasting group, a so-called {\em further splitting ratio gain} can also be achieved. By the joint effect of the {\em raw packet saving gain} and the {\em further splitting ratio gain}, an order-wise subpacketization reduction can be achieved compared to the JCM scheme while preserving the optimal rate for large system parameter regimes. In addition, as the first time presented in the literature according to our knowledge, we find that unequal subpacketizaton is a key to achieve a subpacketization gain when the number of users is odd. As a by-product, instead of directly translating shared link caching schemes to D2D caching schemes, at least for the sake of subpackeitzations, a new design framework is indeed needed.

Connected through hyperedge HE-1 (induced by source paper "fundamental limits of wireless caching under uneven capacity channels"):
  with members:
    - "subpacketization rate trade off in multi antenna coded caching"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "full coded caching gains for cache less users"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "centralized caching with unequal cache sizes"
    - "cache aided communications with multiple antennas at finite snr"
    - "alpha fair coded caching"

Connected through hyperedge HE-2 (induced by source paper "on the fundamental limits of fog ran cache aided networks with downlink and sidelink communications"):
  with members:
    - "an optimal linear error correcting delivery scheme for coded caching with shared caches"
    - "how much can d2d communication reduce content delivery latency in fog networks with edge caching"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "full coded caching gains for cache less users"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"
    - "centralized caching with unequal cache sizes"

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)