human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "a dataset of full stack its g5 dsrc communications over licensed and unlicensed bands using a large scale urban testbed"
  Abstract: A large-scale dataset of measurements of ETSI ITS-G5 Dedicated Short Range Communications (DSRC) is presented. Our dataset consists of network interactions happening between two On-Board Units (OBUs) and four Road Side Units (RSUs). Each OBU was fitted onto a vehicle. The two vehicles have been driven across the Innovate UK-funded FLOURISH Test Track encompassing key roads in the center of Bristol, UK. As for the RSUs, they were located at fixed locations around the track. Each RSU and OBU were equipped with two transceivers operating at different frequencies. During our experiments, each transceiver broadcast Cooperative Awareness Messages (CAMs) every 10 ms to the neighboring RSUs and OBUs. Our dataset contains eight experimental sessions of the length of $\sim$2 h each that have taken place over four days -- allocating two experimental sessions per-day. On each day, the two transceivers onboard each device were operated on two different frequencies. In particular, we operated the transceivers both over the licensed DSRC band, and over the unlicensed Industrial, Scientific, and Medical radio (ISM) bands 2.4 GHz-2.5 GHz and 5.725 GHz-5.875 GHz. During each experimental session, for each transceiver, all the transmitted and received CAMs were recorded. For each of the received CAMs, we also recorded its Received Signal Strength Indicator (RSSI) and the location of the receiving transceiver. #R##N#The dataset can be found at this https URL, and it has been analyzed in the following paper: I. Mavromatis, A. Tassi, and R. J. Piechocki, "Operating ITS-G5 DSRC over Unlicensed Bands: A City-Scale Performance Evaluation," Submitted to IEEE VTC-Spring 2019. [Online]. Available: arXiv:1904.00464.

Connected through hyperedge HE-1 (induced by source paper "operating its g5 dsrc over unlicensed bands a city scale performance evaluation"):
  with members:
    - "multi radio 5g architecture for connected and autonomous vehicles application and design insights"
    - "a city scale its g5 network for next generation intelligent transportation systems design insights and challenges"
    - "reliability of multicast under random linear network coding"

Question: Please tell me which class the center node 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)