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 "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions"):
  Abstract: Caching of video files on user devices, combined with file exchange through device-to-device (D2D) communications is a promising method for increasing the throughput of wireless networks. Previous theoretical investigations showed that throughput can be increased by orders of magnitude, but assumed a Zipf distribution for modeling the popularity distribution, which was based on observations in {\em wired} networks. Thus the question whether cache-aided D2D video distribution can provide in practice the benefits promised by existing theoretical literature remains open. To answer this question, we provide new results specifically for popularity distributions of video requests of mobile users. Based on an extensive real-world dataset, we adopt a generalized distribution, known as Mandelbrot-Zipf (MZipf) distribution. We first show that this popularity distribution can fit the practical data well. Using this distribution, we analyze the throughput--outage tradeoff of the cache-aided D2D network and show that the scaling law is identical to the case of Zipf popularity distribution when the MZipf distribution is sufficiently skewed, implying that the benefits previously promised in the literature could indeed be realized in practice. To support the theory, practical evaluations using numerical experiments are provided, and show that the cache-aided D2D can outperform the conventional unicasting from base stations.

Includes members:
  Member "modeling and performance analysis of full duplex communications in cache enabled d2d networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "individual preference aware caching policy design in wireless d2d networks")
  Member "performance of caching based d2d video distribution with measured popularity distributions":
    also connected through other hyperedges:
      (none)
  Member "high throughput opportunistic cooperative device to device communications with caching":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "crowd mecs a novel crowdsourcing framework for mobile edge caching and sharing")
  Member "cache enabled device to device communications offloading gain and energy cost":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "individual preference aware caching policy design in wireless d2d networks")
  Member "cost optimal caching for d2d networks with user mobility modeling analysis and computational approaches":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "optimal scheduling of content caching subject to deadline")
  Member "spatially correlated content caching for device to device communications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "fog aided device to device networks with opportunistic content delivery")
  Member "optimizing content caching to maximize the density of successful receptions in device to device networking":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "individual preference aware caching policy design in wireless d2d networks")
  Member "wireless device to device caching networks basic principles and system performance":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "joint optimization of file placement and delivery in cache assisted wireless networks with limited lifetime and cache space")

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)