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 "rate distortion memory trade offs in heterogeneous caching networks"):
  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 traditional delivery schemes. Most prior works do not exploit the properties of video and simply treat 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 in sequence. Using a Gaussian source model, caching and coded delivery methods are designed to minimize the squared error distortion at end user devices in a rate-limited caching network. Our framework is very general, and accounts for heterogeneous cache sizes, video popularity distributions and user-file play-back qualities. As part of our solution, a new decentralized scheme for lossy cache-aided delivery subject to a given set of preset user distortion targets is proposed, which further generalizes prior literature to a setting with file heterogeneity.

Includes members:
  Member "on coding for cache aided delivery of dynamic correlated content":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the role of caching in future communication systems and networks")
  Member "on coded caching with heterogeneous distortion requirements":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "device to device coded caching with distinct cache sizes")
  Member "characterizing the rate memory tradeoff in cache networks within a factor of 2":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "noisy broadcast networks with receiver caching":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "fundamental limits of wireless caching under mixed cacheable and uncacheable traffic")
  Member "coded caching and content delivery with heterogeneous distortion requirements":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "content caching and delivery in wireless radio access networks")
  Member "a rate distortion approach to caching":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "relaxed wyner s common information")
  Member "order optimal rate of caching and coded multicasting with random demands":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an index coding approach to caching with uncoded cache placement")
  Member "distortion memory tradeoffs in cache aided wireless video delivery":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "device to device coded caching with distinct cache sizes")

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)