human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "new order optimal decentralized coded caching schemes with good performance in the finite file size regime"):
  Abstract: A decentralized coded caching scheme based on independent random content placement has been proposed by Maddah-Ali and Niesen, and has been shown to achieve an order-optimal memory-load tradeoff when the file size goes to infinity. It was then successively shown by Shanmugam et al. that in the practical operating regime where the file size is limited such scheme yields much less attractive load gain. In this paper, we propose a decentralized random coded caching scheme and a partially decentralized sequential coded caching scheme with different coordination requirements in the content placement phase. The proposed content placement and delivery methods aim at ensuring abundant coded-multicasting opportunities in the content delivery phase when the file size is finite. We first analyze the loads of the two proposed schemes and show that the sequential scheme outperforms the random scheme in the finite file size regime. We also show that both our proposed schemes outperform Maddah-Ali--Niesen's and Shanmugam et al.'s decentralized schemes for finite file size, when the number of users is sufficiently large. Then, we show that our schemes achieve the same memory-load tradeoff as Maddah-Ali--Niesen's decentralized scheme when the file size goes to infinity, and hence are also order optimal. Finally, we analyze the load gains of the two proposed schemes and characterize the corresponding required file sizes.

Includes members:
  Member "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "joint optimization of file placement and delivery in cache assisted wireless networks with limited lifetime and cache space")
  Member "caching aided coded multicasting with multiple random requests":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on optimal load memory tradeoff of cache aided scalar linear function retrieval")
  Member "order optimal rate of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an index coding approach to caching with uncoded cache placement")
  Member "finite length analysis of caching aided coded multicasting":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry")
  Member "analysis and optimization of caching and multicasting in large scale cache enabled wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "caching at base stations with multi cluster multicast wireless backhaul via accelerated first order algorithm")
  Member "multicast aware caching for small cell networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a survey on mobile edge networks convergence of computing caching and communications")
  Member "on the average performance of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "rate distortion memory trade offs in heterogeneous caching networks")
  Member "online coded caching":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry")

Question: Please tell me which class the source paper 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)