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: "multiple access in cellular v2x performance analysis in highly congested vehicular networks"
  Abstract: Vehicle-to-everything (V2X) communication enables vehicles, roadside vulnerable users, and infrastructure facilities to communicate in an ad-hoc fashion. Cellular V2X (C-V2X), which was introduced in the 3rd generation partnership project (3GPP) release 14 standard, has recently received significant attention due to its perceived ability to address the scalability and reliability requirements of vehicular safety applications. In this paper, we provide a comprehensive study of the resource allocation of the C-V2X multiple access mechanism for high-density vehicular networks, as it can strongly impact the key performance indicators such as latency and packet delivery rate. Phenomena that can affect the communication performance are investigated and a detailed analysis of the cases that can cause possible performance degradation or system limitations, is provided. The results indicate that a unified system configuration may be necessary for all vehicles, as it is mandated for IEEE 802.11p, in order to obtain the optimum performance. In the end, we show the inter-dependence of different parameters on the resource allocation procedure with the aid of our high fidelity simulator.

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 "controlling steering angle for cooperative self driving vehicles utilizing cnn and lstm based deep networks"):
  with members:
    - "analysis of distributed congestion control in cellular vehicle to everything networks"
    - "self driving car steering angle prediction based on image recognition"
    - "variational end to end navigation and localization"
    - "vision based navigation of autonomous vehicle in roadway environments with unexpected hazards"
    - "lstm a search space odyssey"
    - "end to end deep learning for steering autonomous vehicles considering temporal dependencies"
    - "end to end learning for self driving cars"
    - "end to end learning of driving models from large scale video datasets"

Connected through hyperedge HE-3 (induced by source paper "analysis of distributed congestion control in cellular vehicle to everything networks"):
  with members:
    - "analytical models of the performance of c v2x mode 4 vehicular communications"
    - "real time hardware in the loop emulation framework for dsrc based connected vehicle applications"
    - "study of the impact of phy and mac parameters in 3gpp c v2v mode 4"

Connected through hyperedge HE-4 (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"
    - "performance analysis of sensing based semi persistent scheduling in c v2x networks"

Connected through hyperedge HE-5 (induced by source paper "geo based scheduling for c v2x networks"):
  with members:
    - "analytical models of the performance of c v2x mode 4 vehicular communications"
    - "study of the impact of phy and mac parameters in 3gpp c v2v mode 4"
    - "reducing message collisions in sensing based semi persistent scheduling sps by using reselection lookaheads in cellular v2x"

Connected through hyperedge HE-6 (induced by source paper "real time hardware in the loop emulation framework for dsrc based connected vehicle applications"):
  with members:
    - "analysis of distributed congestion control in cellular vehicle to everything networks"

Connected through hyperedge HE-7 (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"
    - "performance analysis of sensing based semi persistent scheduling in c v2x 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)