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: "spatial configuration of agile wireless networks with drone bss and user in the loop"
  Abstract: Agile networking can reduce over-engineering, costs, and energy waste. Towards that end, it is vital to exploit all degrees of freedom of wireless networks efficiently, so that service quality is not sacrificed. In order to reap the benefits of flexible networking, we propose a spatial network configuration scheme (SNC), which can result in efficient networking; both from the perspective of network capacity, and profitability. First, SNC utilizes the drone-base-stations (drone-BSs) to configure access points. Drone-BSs are shifting paradigms of heterogeneous wireless networks by providing radically flexible deployment opportunities. On the other hand, their limited endurance and potential high cost increase the importance of utilizing drone-BSs efficiently. Therefore, secondly, user mobility is exploited via user-in-the-loop (UIL), which aims at influencing users' mobility by offering incentives. The proposed uncoordinated SNC is a computationally efficient method, yet, it may be insufficient to exploit the synergy between drone-BSs and UIL. Hence, we propose joint SNC, which increases the performance gain along with the computational cost. Finally, semi-joint SNC combines benefits of joint SNC, with computational efficiency. Numerical results show that semi-joint SNC is two orders of magnitude times faster than joint SNC, and more than 15 percent profit can be obtained compared to conventional systems.

Connected through hyperedge HE-1 (induced by source paper "backhaul aware optimization of uav base station location and bandwidth allocation for profit maximization"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "uav base station location optimization for next generation wireless networks overview and future research directions"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "user association and bandwidth allocation for terrestrial and aerial base stations with backhaul considerations"
    - "backhaul aware robust 3d drone placement in 5g wireless networks"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"

Connected through hyperedge HE-2 (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-3 (induced by source paper "potential data link candidates for civilian unmanned aircraft systems a survey"):
  with members:
    - "analysis of aeromacs data link for unmanned aircraft vehicles"
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "real time optimal resource allocation for embedded uav communication systems"
    - "robust resource allocation for uav systems with uav jittering and user location uncertainty"
    - "integrating small satellite communication in an autonomous vehicle network a case for oceanography"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "joint trajectory and communication design for uav enabled multiple access"

Connected through hyperedge HE-4 (induced by source paper "multi purpose aerial drones for network coverage and package delivery"):
  with members:
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "uav aided offloading for cellular hotspot"
    - "on the min cost traveling salesman problem with drone"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "joint trajectory and communication design for uav enabled multiple access"

Connected through hyperedge HE-5 (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"
    - "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"
    - "a distributed approach for networked flying platform association with small cells in 5g networks"
    - "cyclical multiple access in uav aided communications a throughput delay tradeoff"

Connected through hyperedge HE-6 (induced by source paper "outage optimized deployment of uavs"):
  with members:
    - "energy efficient resource allocation for secure uav communication systems"
    - "power efficient deployment of uavs as relays"
    - "wireless communication using unmanned aerial vehicles uavs optimal transport theory for hover time optimization"
    - "placement optimization of uav mounted mobile base stations"
    - "providing wireless coverage to high rise buildings using uavs"
    - "deployment and trajectory optimization for uavs a quantization theory approach"
    - "cyclical multiple access in uav aided communications a throughput delay tradeoff"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"

Connected through hyperedge HE-7 (induced by source paper "resource and placement optimization for multiple uavs using backhaul tethered balloons"):
  with members:
    - "spatial and temporal management of cellular hetnets with multiple solar powered drones"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "energy efficient uav communication with trajectory optimization"
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-8 (induced by source paper "uav base station location optimization for next generation wireless networks overview and future research directions"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "backhaul aware placement of a uav bs with bandwidth allocation for user centric operation and profit maximization"
    - "efficient 3d aerial base station placement considering users mobility by reinforcement learning"
    - "efficient 3d placement of a uav using particle swarm optimization"
    - "placement optimization of uav mounted mobile base stations"
    - "providing wireless coverage to high rise buildings using uavs"
    - "joint trajectory and communication design for multi uav enabled 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)