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 "distortion memory tradeoffs in cache aided wireless video delivery"):
  Abstract: Mobile network operators are considering caching as one of the strategies to keep up with the increasing demand for high-definition wireless video streaming. By prefetching popular content into memory at wireless access points or end user devices, requests can be served locally, relieving strain on expensive backhaul. In addition, using network coding allows the simultaneous serving of distinct cache misses via common coded multicast transmissions, resulting in significantly larger load reductions compared to those achieved with conventional delivery schemes. However, prior work does not exploit the properties of video and simply treats content as fixed-size files that users would like to fully download. Our work is motivated by the fact that video can be coded in a scalable fashion and that the decoded video quality depends on the number of layers a user is able to receive. Using a Gaussian source model, caching and coded delivery methods are designed to minimize the squared error distortion at end user devices. Our work is general enough to consider heterogeneous cache sizes and video popularity distributions.

Includes members:
  Member "order optimal rate of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an index coding approach to caching with uncoded cache placement")
  Member "an efficient coded multicasting scheme preserving the multiplicative caching gain":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "decentralized coded caching without file splitting")
  Member "finite length analysis of caching aided coded multicasting":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "subexponential and linear subpacketization coded caching via line graphs and projective geometry")
  Member "an efficient multiple groupcast coded multicasting scheme for finite fractional caching":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks")
  Member "caching and coded multicasting multiple groupcast index coding":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks")
  Member "on the average performance of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "rate distortion memory trade offs in heterogeneous caching networks")
  Member "caching eliminates the wireless bottleneck in video aware wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "individual preference aware caching policy design in wireless d2d networks")
  Member "decentralized coded caching attains order optimal memory rate tradeoff":
    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)