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 "aoi delay tradeoff in mobile edge caching with freshness aware content refreshing"):
  Abstract: Mobile edge caching can effectively reduce service delay but may introduce information staleness, calling for timely content refreshing. However, content refreshing consumes additional transmission resources and may degrade the delay performance of mobile systems. In this work, we propose a freshness-aware refreshing scheme to balance the service delay and content freshness measured by Age of Information (AoI). Specifically, the cached content items will be refreshed to the up-to-date version upon user requests if the AoI exceeds a certain threshold (named as refreshing window). The average AoI and service delay are derived in closed forms approximately, which reveals an AoI-delay tradeoff relationship with respect to the refreshing window. In addition, the refreshing window is optimized to minimize the average delay while meeting the AoI requirements, and the results indicate to set a smaller refreshing window for the popular content items. Extensive simulations are conducted on the OMNeT++ platform to validate the analytical results. The results indicate that the proposed scheme can restrain frequent refreshing as the request arrival rate increases, whereby the average delay can be reduced by around 80% while maintaining the AoI below one second in heavily-loaded scenarios.

Includes members:
  Member "cooperative service caching and workload scheduling in mobile edge computing":
    also connected through other hyperedges:
      (none)
  Member "ai assisted low information latency wireless networking":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "revealing much while saying less predictive wireless for status update")
  Member "age of information aware radio resource management in vehicular networks a proactive deep reinforcement learning perspective":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "resource awareness in unmanned aerial vehicle assisted mobile edge computing systems")
  Member "minimum age of information in the internet of things with non uniform status packet sizes":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "on the optimality of the whittle s index policy for minimizing the age of information")
  Member "content popularity prediction towards location aware mobile edge caching":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "collaborative multi agent multi armed bandit learning for small cell caching")
  Member "air ground integrated vehicular network slicing with content pushing and caching":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a virtual network customization framework for multicast services in nfv enabled core networks")
  Member "cost effective cache deployment in mobile heterogeneous networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "the design of dynamic probabilistic caching with time varying content popularity")
  Member "edge caching wireless networks performance analysis and optimization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "multi antenna coded content delivery with caching a low complexity solution")

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.NI(Networking and Internet Architecture)