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: "full coded caching gains for cache less users"
  Abstract: The work identifies the performance limits of the multiple-input single-output broadcast channel where cache-aided users coincide with users that do not have caches. The main contribution is a new algorithm that employs perfect matchings on a bipartite graph to offer full multiplexing as well as full coded-caching gains to both cache-aided as well as cache-less users. This performance is shown to be within a factor of at most 3 from the optimal, under the assumption of linear one-shot schemes. #R##N#An interesting outcome is the following: starting from a single-stream centralized coded caching setting with normalized cache size $\gamma$, then every addition of an extra transmit antenna allows for the addition of approximately $1/\gamma$ extra \emph{cache-less} users, at no added delay costs. For example, starting from a single-stream coded caching setting with $\gamma = 1/100$, every addition of a transmit antenna, allows for serving approximately an additional $100$ more cache-less users, without any increase in the overall delay. Finally the work reveals the role of multiple antennas in removing the penalties typically associated to cache-size unevenness, as it shows that the performance in the presence of both cache-less and cache-aided users, matches the optimal (under uncoded cache placement) performance of the corresponding symmetric case where the same cumulative cache volume is split evenly across all users.

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 new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "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"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "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"

Connected through hyperedge HE-3 (induced by source paper "resolving a feedback bottleneck of multi antenna coded caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on multi server coded caching in the low memory regime"
    - "alpha fair coded caching"
    - "generalized degrees of freedom of the symmetric cache aided miso broadcast channel with partial csit"
    - "multi antenna interference management for coded caching"
    - "scalable content delivery with coded caching in multi antenna fading channels"
    - "on coded caching in the overloaded miso broadcast channel"
    - "on the coded caching delivery design over wireless 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)