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: "local map assisted positioning for flying wireless relays"
  Abstract: This paper considers the exploitation of unmanned aerial vehicles (UAVs) in wireless networking, with which communication-enabled robots operate as flying wireless relays to provide connectivity or a capacity boost to a ground user. We focus on the particular problem of (automatic) UAV positioning, which greatly affects the end-to-end throughput performance. While existing methods rely on propagation distance minimiza- tion and statistical models for the presence or absence of a line-of-sight (LOS), we propose an approach capable of leveraging local topological information so as to offer better performance guarantees. The proposed method allows to strike a trade-off between minimizing distance path loss and discovering (near) LOS opportunities at locations away from the base station (BS)-user axis. Furthermore, the algorithm is shown to find the global optimal UAV position, although it only requires a local exploration of a signal strength map and the length of search trajectory is only linear to the geographical scale. Hence, it lends itself to online implementation. Significant throughput gains are found when compared to other positioning approaches based on LOS statistical models.

Connected through hyperedge HE-1 (induced by source paper "hybrid offline online design for uav enabled data harvesting in probabilistic los channel"):
  with members:
    - "average peak age of information minimization in uav assisted iot networks"
    - "efficient local map search algorithms for the placement of flying relays"
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "deep reinforcement learning for minimizing age of information in uav assisted networks"
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "path design for cellular connected uav with reinforcement learning"
    - "age optimal trajectory planning for uav assisted data collection"
    - "learning to communicate in uav aided wireless networks map based approaches"

Connected through hyperedge HE-2 (induced by source paper "uav positioning and power control for two way wireless relaying"):
  with members:
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "a framework for one bit and constant envelope precoding over multiuser massive miso channels"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "common throughput maximization in uav enabled ofdma systems with delay consideration"
    - "placement optimization of uav mounted mobile base stations"
    - "asynchronous stochastic approximation based learning algorithms for as you go deployment of wireless relay networks along a line"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "joint altitude and beamwidth optimization for uav enabled multiuser communications"

Connected through hyperedge HE-3 (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"
    - "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"
    - "network formation in the sky unmanned aerial vehicles for multi hop wireless backhauling"
    - "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-4 (induced by source paper "adaptive deployment for uav aided communication networks"):
  with members:
    - "uav aided offloading for cellular hotspot"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "uplink coverage performance of an underlay drone cell for temporary events"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "coverage analysis for low altitude uav networks in urban environments"
    - "fast deployment of uav networks for optimal wireless coverage"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "caching in the sky proactive deployment of cache enabled unmanned aerial vehicles for optimized quality of experience"

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)