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: "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
  Abstract: The need for a rapid-to-deploy solution for providing wireless cellular services can be realized by unmanned aerial vehicle base stations (UAV-BSs). To the best of our knowledge, this letter is the first in literature that studies a novel 3-D UAV-BS placement that maximizes the number of covered users with different quality-of-service requirements. We model the placement problem as a multiple circles placement problem and propose an optimal placement algorithm that utilizes an exhaustive search (ES) over a 1-D parameter in a closed region. We also propose a low-complexity algorithm, namely, maximal weighted area (MWA) algorithm to tackle the placement problem. Numerical simulations are presented showing that the MWA algorithm performs very close to the ES algorithm with a significant complexity reduction.

Connected through hyperedge HE-1 (induced by source paper "fundamental rate limits of uav enabled multiple access channel with trajectory optimization"):
  with members:
    - "hybrid offline online design for uav enabled data harvesting in probabilistic los channel"
    - "optimized trajectory design in uav based cellular networks for 3d users a double q learning approach"
    - "cognitive uav communication via joint maneuver and power control"
    - "capacity characterization of uav enabled two user broadcast channel"
    - "energy minimization for wireless communication with rotary wing uav"
    - "throughput maximization for uav enabled wireless powered communication networks"
    - "common throughput maximization in uav enabled ofdma systems with delay consideration"
    - "joint trajectory and communication design for multi uav enabled wireless networks"

Connected through hyperedge HE-2 (induced by source paper "3d uav trajectory and communication design for simultaneous uplink and downlink transmission"):
  with members:
    - "energy efficient cooperative secure transmission in multi uav enabled wireless networks"
    - "throughput maximization for full duplex uav aided small cell wireless systems"
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "uav aided offloading for cellular hotspot"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "securing uav communications via joint trajectory and power control"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "joint trajectory and communication design for multi uav enabled wireless networks"

Connected through hyperedge HE-3 (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"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "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"
    - "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-4 (induced by source paper "distributed collaborative 3d deployment of uav base stations for on demand coverage"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "efficient 3d aerial base station placement considering users mobility by reinforcement learning"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "the new frontier in ran heterogeneity multi tier drone cells"
    - "drone small cells in the clouds design deployment and performance analysis"

Connected through hyperedge HE-5 (induced by source paper "optimal resource allocation in ground wireless networks supporting unmanned aerial vehicle transmissions"):
  with members:
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "dynamic user clustering and power allocation for uplink and downlink non orthogonal multiple access noma systems"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "the third order term in the normal approximation for the awgn channel"

Connected through hyperedge HE-6 (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"
    - "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"
    - "providing wireless coverage to high rise buildings using uavs"

Connected through hyperedge HE-7 (induced by source paper "energy efficient resource allocation in uav enabled mobile edge computing networks"):
  with members:
    - "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"
    - "uav aided offloading for cellular hotspot"
    - "joint altitude beamwidth location and bandwidth optimization for uav enabled communications"
    - "stochastic optimization and control framework for 5g network slicing with effective isolation"
    - "joint energy minimization and resource allocation in c ran with mobile cloud"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"

Connected through hyperedge HE-8 (induced by source paper "cellular connectivity for uavs network modeling performance analysis and design guidelines"):
  with members:
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "cellular uav to uav communications"
    - "a brief history on the theoretical analysis of dense small cell wireless networks"
    - "key technologies and system trade offs for detection and localization of amateur drones"
    - "supporting uav cellular communications through massive mimo"
    - "mobile networks connected drones field trials simulations and design insights"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"

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)