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: "a stochastic geometry model of backhaul and user coverage in urban uav networks"
  Abstract: Wireless access points on unmanned aerial vehicles (UAVs) are being considered for mobile service provisioning in commercial networks. To be able to efficiently use these devices in cellular networks it is necessary to first have a qualitative and quantitative understanding of how their design parameters reflect on the service quality experienced by the end user. In this paper we model a network of UAVs operating at a certain height above ground to provide wireless service within coverage areas shaped by their directional antennas, with the UAVs using the existing terrestrial base station network for wireless backhaul. We provide an analytical expression for the coverage probability experienced by a typical user as a function of the UAV parameters. Using our derivations we demonstrate the existence of an optimum UAV height which maximises the end user coverage probability. We then explore a scenario where the UAVs adjust their individual heights to meet their backhaul requirements while at the same time attempting to maximise the coverage probability of the end user on the ground.

Connected through hyperedge HE-1 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach"):
  with members:
    - "a tutorial on beam management for 3gpp nr at mmwave frequencies"
    - "underlay drone cell for temporary events impact of drone height and aerial channel environments"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "a stochastic model for uav networks positioned above demand hotspots in urban environments"
    - "coverage and connectivity analysis of millimeter wave vehicular networks"
    - "modeling and analyzing millimeter wave cellular systems"
    - "massive mimo for communications with drone swarms"

Connected through hyperedge HE-2 (induced by source paper "heuristic approach for jointly optimizing feicic and uav locations in multi tier lte advanced public safety hetnet"):
  with members:
    - "predictive deployment of uav base stations in wireless networks machine learning meets contract theory"
    - "performance analysis for practical unmanned aerial vehicle networks with los nlos transmissions"
    - "interference coordination for aerial and terrestrial nodes in three tier lte advanced hetnet"
    - "a survey on legacy and emerging technologies for public safety communications"
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"
    - "uav assisted heterogeneous networks for capacity enhancement"
    - "drone small cells in the clouds design deployment and performance analysis"

Connected through hyperedge HE-3 (induced by source paper "a unified spatial framework for uav aided mmwave networks"):
  with members:
    - "cache enabled hetnets with millimeter wave small cells"
    - "securing uav communications via joint trajectory and power control"
    - "online learning for position aided millimeter wave beam training"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"
    - "robust trajectory and transmit power design for secure uav communications"
    - "modeling and analysis of d2d millimeter wave networks with poisson cluster processes"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"

Connected through hyperedge HE-4 (induced by source paper "joint access and backhaul resource management in satellite drone networks a competitive market approach"):
  with members:
    - "exploiting noma for uav communications in large scale cellular networks"
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "liquid state machine learning for resource and cache management in lte u unmanned aerial vehicle uav networks"
    - "backhaul aware placement of a uav bs with bandwidth allocation for user centric operation and profit maximization"
    - "wireless communication using unmanned aerial vehicles uavs optimal transport theory for hover time optimization"
    - "beam tracking for uav mounted satcom on the move with massive antenna array"
    - "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"

Connected through hyperedge HE-5 (induced by source paper "stochastic geometry analysis of hybrid aerial terrestrial networks with mmwave backhauling"):
  with members:
    - "uav aided offloading for cellular hotspot"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "modeling and analyzing millimeter wave cellular systems"
    - "a primer on cellular network analysis using stochastic geometry"
    - "downlink and uplink cell association with traditional macrocells and millimeter wave small cells"
    - "energy efficient uav communication with trajectory optimization"
    - "enabling uav cellular with millimeter wave communication potentials and approaches"

Connected through hyperedge HE-6 (induced by source paper "on the effect of temporal correlation on joint success probability and distribution of number of interferers in mobile uav networks"):
  with members:
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "spatial and temporal correlation of the interference in aloha ad hoc networks"

Connected through hyperedge HE-7 (induced by source paper "understanding uav cellular communications from existing networks to massive mimo"):
  with members:
    - "cellular connected uav potentials challenges and promising technologies"
    - "supporting uav cellular communications through massive mimo"
    - "the essential guide to realizing 5g connected uavs with massive mimo"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "interference mitigation methods for unmanned aerial vehicles served by cellular networks"
    - "reshaping cellular networks for the sky the major factors and feasibility"
    - "massive mimo for communications with drone swarms"

Connected through hyperedge HE-8 (induced by source paper "supporting uav cellular communications through massive mimo"):
  with members:
    - "reshaping cellular networks for the sky the major factors and feasibility"
    - "massive mimo for communications with drone swarms"
    - "cell edge aware precoding for downlink massive mimo cellular networks"
    - "massive mimo unlicensed a new approach to dynamic spectrum access"
    - "uplink sounding reference signal coordination to combat pilot contamination in 5g massive mimo"
    - "pilot contamination is not a fundamental asymptotic limitation in massive mimo"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "operating massive mimo in unlicensed bands for enhanced coexistence and spatial reuse"

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)