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 distributed approach for networked flying platform association with small cells in 5g networks"
  Abstract: The densification of small-cell base stations in a 5G architecture is a promising approach to enhance the coverage area and facilitate the ever increasing capacity demand of end users. However, the bottleneck is an intelligent management of a backhaul/fronthaul network for these small-cell base stations. This involves efficient association and placement of the backhaul hubs that connects these small-cells with the core network. Terrestrial hubs suffer from an inefficient non line of sight link limitations and unavailability of a proper infrastructure in an urban area. Seeing the popularity of flying platforms, we employ here an idea of using networked flying platform (NFP) such as unmanned aerial vehicles (UAVs), drones, unmanned balloons flying at different altitudes, as aerial backhaul hubs. The association problem of these NFP-hubs and small-cell base stations is formulated considering backhaul link and NFP related limitations such as maximum number of supported links and bandwidth. Then, this paper presents an efficient and distributed solution of the designed problem, which performs a greedy search in order to maximize the sum rate of the overall network. A favorable performance is observed via a numerical comparison of our proposed method with optimal exhaustive search algorithm in terms of sum rate and run-time speed.

Connected through hyperedge HE-1 (induced by source paper "uav communications for 5g and beyond recent advances and future trends"):
  with members:
    - "comparison of limited feedback schemes for noma transmission in mmwave drone networks"
    - "energy optimization for cellular connected multi uav mobile edge computing systems with multi access schemes"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "resource allocation for solar powered uav communication systems"
    - "cellular connected uav potentials challenges and promising technologies"
    - "real time optimal resource allocation for embedded uav communication systems"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "minimum throughput maximization in uav aided wireless powered communication networks"

Connected through hyperedge HE-2 (induced by source paper "unmanned aerial vehicles uavs a survey on civil applications and key research challenges"):
  with members:
    - "resource allocation for solar powered uav communication systems"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "indoor mobile coverage problem using uavs"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "wireless communication using unmanned aerial vehicles uavs optimal transport theory for hover time optimization"
    - "efficient 3d placement of a uav using particle swarm optimization"
    - "placement optimization of uav mounted mobile base stations"

Connected through hyperedge HE-3 (induced by source paper "multi drone 3d trajectory planning and scheduling in drone assisted radio access networks"):
  with members:
    - "coverage probability analysis of uav cellular networks in urban environments"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "spatial configuration of agile wireless networks with drone bss and user in the loop"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "autonomous recharging and flight mission planning for battery operated autonomous drones"
    - "cyclical multiple access in uav aided communications a throughput delay tradeoff"

Connected through hyperedge HE-4 (induced by source paper "a multi layer feedback system approach to resilient connectivity of remotely deployed mobile internet of things"):
  with members:
    - "placement optimization of uav mounted mobile base stations"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "secure and reconfigurable network design for critical information dissemination in the internet of battlefield things iobt"
    - "association of networked flying platforms with small cells for network centric 5g c ran"
    - "optimizing mission critical data dissemination in massive iot networks"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "optimal transport theory for power efficient deployment of unmanned aerial vehicles"

Connected through hyperedge HE-5 (induced by source paper "efficient 3d aerial base station placement considering users mobility by reinforcement learning"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"
    - "optimal transport theory for cell association in uav enabled cellular networks"
    - "association of networked flying platforms with small cells for network centric 5g c ran"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "drone small cells in the clouds design deployment and performance analysis"

Connected through hyperedge HE-6 (induced by source paper "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "introduction to ultra reliable and low latency communications in 5g"
    - "association of networked flying platforms with small cells for network centric 5g c ran"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "joint downlink cell association and bandwidth allocation for wireless backhauling in two tier hetnets with large scale antenna arrays"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"
    - "the new frontier in ran heterogeneity multi tier drone cells"

Connected through hyperedge HE-7 (induced by source paper "association of networked flying platforms with small cells for network centric 5g c ran"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"
    - "fronthaul constrained cloud radio access networks insights and challenges"
    - "drone small cells in the clouds design deployment and performance analysis"
    - "what will 5g be"

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)