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: "vehicular communications survey and challenges of channel and propagation models"
  Abstract: Vehicular communication is characterized by a dynamic environment, high mobility, and comparatively low antenna heights on the communicating entities (vehicles and roadside units). These characteristics make vehicular propagation and channel modeling particularly challenging. In this article, we classify and describe the most relevant vehicular propagation and channel models, with a particular focus on the usability of the models for the evaluation of protocols and applications. We first classify the models based on the propagation mechanisms they employ and their implementation approach. We also classify the models based on the channel properties they implement and pay special attention to the usability of the models, including the complexity of implementation, scalability, and the input requirements (e.g., geographical data input). We also discuss the less-explored aspects in vehicular channel modeling, including modeling specific environments (e.g., tunnels, overpasses, and parking lots) and types of communicating vehicles (e.g., scooters and public transportation vehicles). We conclude by identifying the underresearched aspects of vehicular propagation and channel modeling that require further modeling and measurement studies.

Connected through hyperedge HE-1 (induced by source paper "non orthogonal multiple access with orthogonal time frequency space signal transmission"):
  with members:
    - "otfs noma an efficient approach for exploiting heterogenous user mobility profiles"
    - "low complexity lmmse receiver for otfs"
    - "robust beamforming design for otfs noma"
    - "on the diversity of uncoded otfs modulation in doubly dispersive channels"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "fundamental limits of low density spreading noma with fading"
    - "sub channel assignment power allocation and user scheduling for non orthogonal multiple access networks"
    - "dynamic user clustering and power allocation for uplink and downlink non orthogonal multiple access noma systems"

Connected through hyperedge HE-2 (induced by source paper "toward intelligent vehicular networks a machine learning framework"):
  with members:
    - "mmwave beam prediction with situational awareness a machine learning approach"
    - "deep learning coordinated beamforming for highly mobile millimeter wave systems"
    - "deep reinforcement learning for resource allocation in v2v communications"
    - "stabilising experience replay for deep multi agent reinforcement learning"
    - "machine learning for vehicular networks"
    - "power of deep learning for channel estimation and signal detection in ofdm systems"
    - "inverse multipath fingerprinting for millimeter wave v2i beam alignment"
    - "vehicular communications a network layer perspective"

Connected through hyperedge HE-3 (induced by source paper "spatial and temporal analysis of direct communications from static devices to mobile vehicles"):
  with members:
    - "poisson cox point processes for vehicular networks"
    - "an analytical framework for coverage in cellular networks leveraging vehicles"
    - "coverage analysis of a vehicular network modeled as cox process driven by poisson line process"
    - "spatial motifs for device to device network analysis dna in cellular networks"
    - "analytical modeling of uplink cellular networks"
    - "internet of things iot a vision architectural elements and future directions"
    - "femtocaching and device to device collaboration a new architecture for wireless video distribution"
    - "spatial and temporal correlation of the interference in aloha ad hoc networks"

Connected through hyperedge HE-4 (induced by source paper "vehicular communications a physical layer perspective"):
  with members:
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "an overview of signal processing techniques for millimeter wave mimo systems"
    - "otfs orthogonal time frequency space"
    - "the impact of beamwidth on temporal channel variation in vehicular channels and its implications"
    - "a survey on device to device communication in cellular networks"
    - "delay and doppler spreads of nonstationary vehicular channels for safety relevant scenarios"
    - "what will 5g be"
    - "spatially sparse precoding in millimeter wave mimo systems"

Connected through hyperedge HE-5 (induced by source paper "ecpr environment and context aware combined power and rate distributed congestion control for vehicular communications"):
  with members:
    - "distributed and fair beaconing rate adaptation for congestion control in vehicular networks"
    - "evaluation of synchronous and asynchronous reactive distributed congestion control algorithms for the its g5 vehicular systems"
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "distributed and fair beaconing congestion control schemes for vehicular networks"
    - "geometry based vehicle to vehicle channel modeling for large scale simulation"

Connected through hyperedge HE-6 (induced by source paper "trends and challenges in wireless channel modeling for an evolving radio access"):
  with members:
    - "kernel based adaptive online reconstruction of coverage maps with side information"
    - "channel covariance estimation in massive mimo frequency division duplex systems"
    - "massive mimo for next generation wireless systems"
    - "joint spatial division and multiplexing for mm wave channels"

Connected through hyperedge HE-7 (induced by source paper "modeling the evolution of line of sight blockage for v2v channels"):
  with members:
    - "a measurement based shadow fading model for vehicle to vehicle network simulations"
    - "tvr tall vehicle relayingin vehicular networks"
    - "geometry based vehicle to vehicle channel modeling for large scale simulation"

Connected through hyperedge HE-8 (induced by source paper "geo location based access for vehicular communications analysis and optimization via stochastic geometry"):
  with members:
    - "analytical modeling of interference aware power control for the uplink of heterogeneous cellular networks"
    - "optimizing user association and spectrum allocation in hetnets a utility perspective"
    - "mean interference in hard core wireless 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)