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: "securing uav communications via joint trajectory and power control"
  Abstract: Unmanned aerial vehicle (UAV) communication is anticipated to be widely applied in the forthcoming fifth-generation (5G) wireless networks, due to its many advantages such as low cost, high mobility, and on-demand deployment. However, the broadcast and line-of-sight (LoS) nature of air-to-ground wireless channels gives rise to a new challenge on how to realize secure UAV communications with the destined nodes on the ground. This paper aims to tackle this challenge by applying the physical (PHY) layer security technique. We consider both the downlink and uplink UAV communications with a ground node, namely UAV-to-ground (U2G) and ground-to-UAV (G2U) communication, respectively, subject to a potential eavesdropper on the ground. In contrast to the existing literature on wireless PHY layer security only with ground nodes at fixed or quasi-static locations, we exploit the high mobility of the UAV to proactively establish favorable and degraded channels for the legitimate and eavesdropping links, respectively, via its trajectory design. We formulate new problems to maximize the average secrecy rates of the U2G and G2U transmissions, respectively, by jointly optimizing the UAV's trajectory and the transmit power of the legitimate transmitter over a given flight period of the UAV. Although the formulated problems are non-convex, we propose iterative algorithms to solve them efficiently by applying the block coordinate descent and successive convex optimization methods. Specifically, the transmit power and UAV trajectory are each optimized with the other being fixed in an alternating manner, until they converge. Simulation results show that the proposed algorithms can improve the secrecy rates for both U2G and G2U communications, as compared to other benchmark schemes without power control and/or trajectory optimization.

Connected through hyperedge HE-1 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems"):
  with members:
    - "energy efficient resource allocation for secure uav communication systems"
    - "power efficient deployment of uavs as relays"
    - "multi beam noma for hybrid mmwave systems"
    - "secrecy energy efficiency maximization for uav enabled mobile relaying"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "energy minimization for wireless communication with rotary wing uav"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"

Connected through hyperedge HE-2 (induced by source paper "joint 3d maneuver and power adaptation for secure uav communication with comp reception"):
  with members:
    - "efficient local map search algorithms for the placement of flying relays"
    - "secrecy transmission in large scale uav enabled wireless networks"
    - "cognitive uav communication via joint maneuver and power control"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "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"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "learning to communicate in uav aided wireless networks map based approaches"

Connected through hyperedge HE-3 (induced by source paper "resource allocation for secure multi uav communication systems with multi eavesdropper"):
  with members:
    - "robust trajectory and resource allocation design for secure uav aided communications"
    - "safeguarding wireless network with uavs a physical layer security perspective"
    - "energy efficient resource allocation for secure uav communication systems"
    - "physical layer security in uav systems challenges and opportunities"
    - "cognitive uav communication via joint maneuver and power control"
    - "secrecy energy efficiency maximization for uav enabled mobile relaying"
    - "joint altitude beamwidth location and bandwidth optimization for uav enabled communications"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"

Connected through hyperedge HE-4 (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"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "uav aided offloading for cellular hotspot"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "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-5 (induced by source paper "latency minimized design of secure transmissions in uav aided communications"):
  with members:
    - "energy efficient cooperative secure transmission in multi uav enabled wireless networks"
    - "user association and path planning for uav aided mobile edge computing with energy restriction"
    - "joint optimization of a uav s trajectory and transmit power for covert communications"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "artificial neural networks based machine learning for wireless networks a tutorial"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-6 (induced by source paper "secrecy transmission in large scale uav enabled wireless networks"):
  with members:
    - "a survey of optimization approaches for wireless physical layer security"
    - "exploiting noma oma for multi uav communications in large scale networks"
    - "exploiting noma for uav communications in large scale cellular networks"
    - "capacity characterization of uav enabled two user broadcast channel"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "physical layer security in cache enabled cooperative small cell networks against randomly distributed eavesdroppers"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"

Connected through hyperedge HE-7 (induced by source paper "a unified spatial framework for uav aided mmwave networks"):
  with members:
    - "cache enabled hetnets with millimeter wave small cells"
    - "online learning for position aided millimeter wave beam training"
    - "multiple antenna aided noma in uav networks a stochastic geometry approach"
    - "robust trajectory and transmit power design for secure uav communications"
    - "modeling and analysis of d2d millimeter wave networks with poisson cluster processes"
    - "non orthogonal multiple access in large scale heterogeneous networks"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "a stochastic geometry model of backhaul and user coverage in urban uav networks"

Connected through hyperedge HE-8 (induced by source paper "secrecy and covert communications against uav surveillance via multi hop networks"):
  with members:
    - "safeguarding wireless network with uavs a physical layer security perspective"
    - "coverage probability analysis of uav cellular networks in urban environments"
    - "secure routing with power optimization for ad hoc networks"
    - "multi hop routing in covert wireless networks"
    - "robust trajectory and transmit power design for secure uav communications"
    - "securing uav communications via trajectory optimization"
    - "covert communication in fading channels under channel uncertainty"
    - "secure transmission in linear multihop relaying 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.IT(Information Theory)