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 "agile data offloading over novel fog computing infrastructure for cavs"):
  Abstract: Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data collected from CAVs across the whole city operational area. This paper develops a Fog Computing-based infrastructure for future Intelligent Transportation Systems (ITSs) enabling an agile and reliable off-load of CAV data. Since CAVs are expected to generate large quantities of data, it is not feasible to assume data off-loading to be completed while a CAV is in the proximity of a single Road-Side Unit (RSU). CAVs are expected to be in the range of an RSU only for a limited amount of time, necessitating data reconciliation across different RSUs, if traditional approaches to data off-load were to be used. To this end, this paper proposes an agile Fog Computing infrastructure, which interconnects all the RSUs so that the data reconciliation is solved efficiently as a by-product of deploying the Random Linear Network Coding (RLNC) technique. Our numerical results confirm the feasibility of our solution and show its effectiveness when operated in a large-scale urban testbed.

Includes members:
  Member "a city scale its g5 network for next generation intelligent transportation systems design insights and challenges":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "operating its g5 dsrc over unlicensed bands a city scale performance evaluation")
  Member "agile calibration process of full stack simulation frameworks for v2x communications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a dataset of full stack its g5 dsrc communications over licensed and unlicensed bands using a large scale urban testbed")
  Member "modeling and design of millimeter wave networks for highway vehicular communication":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "coverage and rate analysis of downlink cellular vehicle to everything c v2x communication")
  Member "analysis and optimization of sparse random linear network coding for reliable multicast services":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the probability of partial decoding in sparse network coding")
  Member "reliable and efficient autonomous driving the need for heterogeneous vehicular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "joint frame design and resource allocation for ultra reliable and low latency vehicular networks")
  Member "network coding meets multimedia a review":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "random linear network coding for 5g mobile video delivery")

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)