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: "system level performance evaluation of lte v2x network"
  Abstract: Vehicles are among the fastest growing type of connected devices. Therefore, there is a need for Vehicle-toEverything (V2X) communication i.e. passing of information from a Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) and vice versa. In this paper, the main focus is on the communication between vehicles and road side units (RSUs) commonly referred to as V2I communication in a multi-lane freeway scenario. Moreover, we analyze network related bottlenecks such as the maximum number of vehicles that can be supported when coverage is provided by the Long Term Evolution Advanced (LTE-A) network. The performance evaluation is assessed through extensive system-level simulations. Results show that new resource allocation and interference mitigation techniques are needed in order to achieve the required high reliability requirements, especially when network load is high.

Connected through hyperedge HE-1 (induced by source paper "enhancing video streaming in vehicular networks via resource slicing"):
  with members:
    - "fastscan robust low complexity rate adaptation algorithm for video streaming over http"
    - "lbp robust rate adaptation algorithm for svc video streaming"
    - "towards low latency and ultra reliable vehicle to vehicle communication"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-2 (induced by source paper "fog massive mimo a user centric seamless hot spot architecture"):
  with members:
    - "a novel alternative to cloud ran for throughput densification coded pilots and fast user packet scheduling at remote radio heads"
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "modeling and analysis of cellular networks using stochastic geometry a tutorial"
    - "ergodic spectral efficiency in mimo cellular networks"
    - "unique coverage in boolean models"
    - "an uplink downlink duality for cloud radio access network"
    - "rrh based massive mimo with on the fly pilot contamination control"
    - "directional training and fast sector based processing schemes for mmwave channels"

Connected through hyperedge HE-3 (induced by source paper "on the application of network slicing for 5g v2x"):
  with members:
    - "towards low latency and ultra reliable vehicle to vehicle communication"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-4 (induced by source paper "a novel alternative to cloud ran for throughput densification coded pilots and fast user packet scheduling at remote radio heads"):
  with members:
    - "realizing the tactile internet haptic communications over next generation 5g cellular networks"
    - "towards interconnected virtual reality opportunities challenges and enablers"
    - "unique coverage in boolean models"
    - "rrh based massive mimo with on the fly pilot contamination control"
    - "directional training and fast sector based processing schemes for mmwave channels"
    - "quantifying data rate and bandwidth requirements for immersive 5g experience"
    - "scalable synchronization and reciprocity calibration for distributed multiuser mimo"
    - "joint spatial division and multiplexing for mm wave channels"

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)