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: "modeling and design of millimeter wave networks for highway vehicular communication"
  Abstract: Connected and autonomous vehicles will play a pivotal role in future Intelligent Transportation Systems (ITSs) and smart cities, in general. High-speed and low-latency wireless communication links will allow municipalities to warn vehicles against safety hazards, as well as support cloud-driving solutions to drastically reduce traffic jams and air pollution. To achieve these goals, vehicles need to be equipped with a wide range of sensors generating and exchanging high rate data streams. Recently, millimeter wave (mmWave) techniques have been introduced as a means of fulfilling such high data rate requirements. In this paper, we model a highway communication network and characterize its fundamental link budget metrics. In particular, we specifically consider a network where vehicles are served by mmWave Base Stations (BSs) deployed alongside the road. To evaluate our highway network, we develop a new theoretical model that accounts for a typical scenario where heavy vehicles (such as buses and lorries) in slow lanes obstruct Line-of-Sight (LOS) paths of vehicles in fast lanes and, hence, act as blockages. Using tools from stochastic geometry, we derive approximations for the Signal-to-Interference-plus-Noise Ratio (SINR) outage probability, as well as the probability that a user achieves a target communication rate (rate coverage probability). Our analysis provides new design insights for mmWave highway communication networks. In considered highway scenarios, we show that reducing the horizontal beamwidth from $90^\circ$ to $30^\circ$ determines a minimal reduction in the SINR outage probability (namely, $4 \cdot 10^{-2}$ at maximum). Also, unlike bi-dimensional mmWave cellular networks, for small BS densities (namely, one BS every $500$ m) it is still possible to achieve an SINR outage probability smaller than $0.2$.

Connected through hyperedge HE-1 (induced by source paper "coverage and rate analysis of downlink cellular vehicle to everything c v2x communication"):
  with members:
    - "stochastic geometry modeling of cellular v2x communication over shared channels"
    - "how to dimension 5g network when users are distributed on roads modeled by poisson line process"
    - "poisson cox point processes for vehicular networks"
    - "success probability and area spectral efficiency of a vanet modeled as a cox process"
    - "characterizing shortest paths in road systems modeled as manhattan poisson line processes"
    - "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"
    - "mmwave vehicle to infrastructure communication analysis of urban microcellular networks"

Connected through hyperedge HE-2 (induced by source paper "outage analysis of cooperative noma using maximum ratio combining at intersections"):
  with members:
    - "performance analysis of cooperative communications at road intersections using stochastic geometry tools"
    - "power domain non orthogonal multiple access noma in 5g systems potentials and challenges"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "full duplex multi antenna relay assisted cooperative non orthogonal multiple access"
    - "vehicle to vehicle communications with urban intersection path loss models"
    - "relay selection for cooperative noma"
    - "on the performance of non orthogonal multiple access in 5g systems with randomly deployed users"

Connected through hyperedge HE-3 (induced by source paper "lte and millimeter waves for v2i communications an end to end performance comparison"):
  with members:
    - "end to end simulation of 5g mmwave networks"
    - "performance study of lte and mmwave in vehicle to network communications"
    - "coverage and connectivity analysis of millimeter wave vehicular networks"
    - "millimeter wave interference avoidance via building aware associations"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "performance impact of los and nlos transmissions in dense cellular networks"
    - "millimeter wave cellular wireless networks potentials and challenges"

Connected through hyperedge HE-4 (induced by source paper "agile data offloading over novel fog computing infrastructure for cavs"):
  with members:
    - "a city scale its g5 network for next generation intelligent transportation systems design insights and challenges"
    - "agile calibration process of full stack simulation frameworks for v2x communications"
    - "analysis and optimization of sparse random linear network coding for reliable multicast services"
    - "reliable and efficient autonomous driving the need for heterogeneous vehicular networks"
    - "network coding meets multimedia a review"

Connected through hyperedge HE-5 (induced by source paper "efficient millimeter wave infrastructure placement for city scale its"):
  with members:
    - "mmwave system for future its a mac layer approach for v2x beam steering"

Connected through hyperedge HE-6 (induced by source paper "end to end simulation of 5g mmwave networks"):
  with members:
    - "integration of carrier aggregation and dual connectivity for the ns 3 mmwave module"
    - "x tcp a cross layer approach for tcp uplink flows in mmwave networks"
    - "enhancing tcp end to end performance in millimeter wave communications"
    - "beam alignment for millimetre wave links with motion prediction of autonomous vehicles"
    - "tcp in 5g mmwave networks link level retransmissions and mp tcp"
    - "provisioning low latency resilient mobile edge clouds for 5g"
    - "caching meets millimeter wave communications for enhanced mobility management in 5g networks"
    - "reliable video streaming over mmwave with multi connectivity and network coding"

Connected through hyperedge HE-7 (induced by source paper "coverage and connectivity analysis of millimeter wave vehicular networks"):
  with members:
    - "improved handover through dual connectivity in 5g mmwave mobile networks"
    - "stochastic geometric coverage analysis in mmwave cellular networks with a realistic channel model"
    - "throughput of infrastructure based cooperative vehicular networks"
    - "an efficient uplink multi connectivity scheme for 5g mmwave control plane applications"
    - "millimeter wave vehicular communication to support massive automotive sensing"
    - "initial access in 5g mmwave cellular networks"
    - "multi connectivity in 5g mmwave cellular networks"
    - "tractable resource management with uplink decoupled millimeter wave overlay in ultra dense cellular networks"

Connected through hyperedge HE-8 (induced by source paper "performance analysis of cooperative communications at road intersections using stochastic geometry tools"):
  with members:
    - "outage analysis of cooperative noma using maximum ratio combining at intersections"
    - "fine grained reliability for v2v communications around suburban and urban intersections"
    - "vehicle to vehicle communications with urban intersection path loss models"
    - "cooperative relaying under spatially and temporally correlated interference"
    - "effect of spatial interference correlation on the performance of maximum ratio combining"
    - "on the outage probability of the full duplex interference limited relay channel"
    - "dual branch mrc receivers under spatial interference correlation and nakagami fading"
    - "cooperative relaying in a poisson field of interferers a diversity order analysis"

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.IT(Information Theory)