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: "performance analysis of sensing based semi persistent scheduling in c v2x networks"
  Abstract: The 3rd Generation Partnership Project released the cellular vehicular-to-everything (C-V2X) specifications as part of the LTE framework in Release 14. C-V2X is the alternative to dedicated short range communications and both are specifically designed for V2X control signaling. C-V2X extends the device-to-device specifications by adding two more modes of operation targeting the vehicular environment in coverage and out of coverage of LTE base stations. Vehicle-to-vehicle communications (V2V) is established with Mode 4, where the devices schedule their transmissions in a distributed way employing sensing-based semi-persistent scheduling (SPS). Research is needed to assess the performance of SPS, especially in congested radio environments. This paper presents the first open-source C-V2X simulator that enables such research. The simulator is implemented in ns-3. We analyze the effect of the Mode 4 resource pool configuration and some of the key SPS parameters on the scheduling performance and find that the resource reservation interval significantly influences packet data rate performance, whereas resource reselection probability has little effect in dense vehicular highway scenarios. Our results show that proper configuration of scheduling parameters can significantly improve performance. We conclude that research on congestion control mechanisms is needed to further enhance the SPS performance for many practical use cases.

Connected through hyperedge HE-1 (induced by source paper "age of information optimized mac in v2x sidelink via piggyback based collaboration"):
  with members:
    - "ai assisted low information latency wireless networking"
    - "analytical models of the performance of c v2x mode 4 vehicular communications"
    - "hierarchical soft slicing to meet multi dimensional qos demand in cache enabled vehicular networks"
    - "minimizing the age of information in a csma environment"
    - "scheduling policies for minimizing age of information in broadcast wireless networks"
    - "can decentralized status update achieve universally near optimal age of information in wireless multiaccess channels"
    - "study of the impact of phy and mac parameters in 3gpp c v2v mode 4"
    - "distributed scheduling algorithms for optimizing information freshness in wireless networks"

Connected through hyperedge HE-2 (induced by source paper "performance analysis of c v2x mode 4 communication introducing an open source c v2x simulator"):
  with members:
    - "lightweight simulation of hybrid aerial and ground based vehicular communication networks"
    - "analytical models of the performance of c v2x mode 4 vehicular communications"
    - "multiple access in cellular v2x performance analysis in highly congested vehicular networks"

Connected through hyperedge HE-3 (induced by source paper "reducing message collisions in sensing based semi persistent scheduling sps by using reselection lookaheads in cellular v2x"):
  with members:
    - "study of the impact of phy and mac parameters in 3gpp c v2v mode 4"
    - "a fixed point model for semi persistent scheduling of vehicular safety messages"
    - "radio resource allocation for reliable out of coverage v2v communications"

Connected through hyperedge HE-4 (induced by source paper "study of the impact of phy and mac parameters in 3gpp c v2v mode 4"):
  with members:
    - "analytical models of the performance of c v2x mode 4 vehicular communications"
    - "multiple access in cellular v2x performance analysis in highly congested vehicular networks"

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)