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: "network formation in the sky unmanned aerial vehicles for multi hop wireless backhauling"
  Abstract: To reap the benefits of dense small base station (SBS) deployment, innovative backhaul solutions are needed in order to manage scenarios in which high-speed ground backhaul links are either unavailable or limited in capacity. In this paper, a novel backhaul scheme that utilizes unmanned aerial vehicles (UAVs) as an on-demand flying network linking ground SBSs and the core network is proposed. The design of the aerial backhaul scheme is formulated as a network formation game among UAVs that seek to form a multi-hop backhaul network in the air. To solve this game, a myopic network formation algorithm which reaches a pairwise stable network upon convergence, is introduced. The proposed network formation algorithm enables the UAVs to form the necessary multi-hop backhaul network in a decentralized manner thus adapting the backhaul architecture to the dynamics of the network. Simulation results show that the proposed network formation algorithm achieves substantial performance gains in terms of both rate and delay reaching, respectively, up to 40% and 41% compared to the formation of direct communication links with the gateway node (for a network with 15 UAVs).

Connected through hyperedge HE-1 (induced by source paper "maritime coverage enhancement using uavs coordinated with hybrid satellite terrestrial networks"):
  with members:
    - "exploiting the shipping lane information for energy efficient maritime communications"
    - "hybrid satellite terrestrial communication networks for the maritime internet of things key technologies opportunities and challenges"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "uav aided offloading for cellular hotspot"
    - "uav enabled radio access network multi mode communication and trajectory design"
    - "when mmwave communications meet network densification a scalable interference coordination perspective"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"

Connected through hyperedge HE-2 (induced by source paper "interference management for cellular connected uavs a deep reinforcement learning approach"):
  with members:
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "uav enabled aerial base station bs iii iii capacity characterization of uav enabled two user broadcast channel"
    - "cellular enabled uav communication trajectory optimization under connectivity constraint"
    - "reshaping cellular networks for the sky the major factors and feasibility"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "coexistence of terrestrial and aerial users in cellular networks"
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"

Connected through hyperedge HE-3 (induced by source paper "dynamic mobility aware interference avoidance for aerial base stations in cognitive radio networks"):
  with members:
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "energy efficient data collection in uav enabled wireless sensor network"
    - "a survey on low latency towards 5g ran core network and caching solutions"
    - "survey of important issues in uav communication networks"
    - "energy efficient uav communication with trajectory optimization"

Connected through hyperedge HE-4 (induced by source paper "interference avoidance position planning in dual hop and multi hop uav relay networks"):
  with members:
    - "dynamic mobility aware interference avoidance for aerial base stations in cognitive radio networks"
    - "local map assisted positioning for flying wireless relays"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "optimal 1d trajectory design for uav enabled multiuser wireless power transfer"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "energy efficient uav communication with trajectory optimization"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "mobile internet of things can uavs provide an energy efficient mobile architecture"

Connected through hyperedge HE-5 (induced by source paper "ultra reliable and low latency wireless communication tail risk and scale"):
  with members:
    - "ultra reliable communication in 5g mmwave networks a risk sensitive approach"
    - "federated learning for ultra reliable low latency v2v communications"
    - "ultra reliable and low latency vehicular transmission an extreme value theory approach"
    - "urllc embb slicing to support vr multimodal perceptions over wireless cellular systems"
    - "network slicing for ultra reliable low latency communication in industry 4 0 scenarios"
    - "proactive edge computing in latency constrained fog networks"
    - "fine grained reliability for v2v communications around suburban and urban intersections"
    - "introduction to ultra reliable and low latency communications in 5g"

Connected through hyperedge HE-6 (induced by source paper "contract based incentive mechanism for lte over unlicensed channels"):
  with members:
    - "orla olaa orthogonal coexistence of laa and wifi in unlicensed spectrum"
    - "echo state networks for self organizing resource allocation in lte u with uplink downlink decoupling"
    - "proactive resource management in lte u systems a deep learning perspective"
    - "the impact of unlicensed access on small cell resource allocation"
    - "breaking the economic barrier of caching in cellular networks incentives and contracts"
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"
    - "auction based coopetition between lte unlicensed and wi fi"
    - "joint caching and pricing strategies for popular content in information centric networks"

Connected through hyperedge HE-7 (induced by source paper "placement optimization for uav enabled wireless networks with multi hop backhaul"):
  with members:
    - "throughput maximization for uav enabled wireless powered communication networks"
    - "uav enabled wireless power transfer trajectory design and energy region characterization"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "energy efficient data collection in uav enabled wireless sensor network"
    - "capacity of uav enabled multicast channel joint trajectory design and power allocation"
    - "uav enabled wireless power transfer trajectory design and energy optimization"
    - "joint altitude and beamwidth optimization for uav enabled multiuser communications"
    - "cyclical multiple access in uav aided communications a throughput delay tradeoff"

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)