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: "cognitive uav communication via joint maneuver and power control"
  Abstract: This paper investigates a new scenario of spectrum sharing between unmanned aerial vehicle (UAV) and terrestrial wireless communication, in which a cognitive/secondary UAV transmitter communicates with a ground secondary receiver (SR), in the presence of a number of primary terrestrial communication links that operate over the same frequency band. We exploit the UAV’s mobility in three-dimensional (3D) space to improve its cognitive communication performance while controlling the co-channel interference at the primary receivers (PRs), such that the received interference power at each PR is below a prescribed threshold termed as interference temperature (IT). First, we consider the quasi-stationary UAV scenario, where the UAV is placed at a static location during each communication period of interest. In this case, we jointly optimize the UAV’s 3D placement and power control to maximize the SR’s achievable rate, subject to the UAV’s altitude and transmit power constraints, as well as a set of IT constraints at the PRs to protect their communications. Second, we consider the mobile UAV scenario, in which the UAV is dispatched to fly from an initial location to a final location within a given task period. We propose an efficient algorithm to maximize the SR’s average achievable rate over this period by jointly optimizing the UAV’s 3D trajectory and power control, subject to the additional constraints on UAV’s maximum flying speed and initial/final locations. Finally, numerical results are provided to evaluate the performance of the proposed designs for different scenarios, as compared to various benchmark schemes. It is shown that in the quasi-stationary scenario the UAV should be placed at its minimum altitude while in the mobile scenario the UAV should adjust its altitude along with horizontal trajectory, so as to maximize the SR’s achievable rate in both scenarios.

Connected through hyperedge HE-1 (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"
    - "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"
    - "securing uav communications via joint trajectory and power control"
    - "learning to communicate in uav aided wireless networks map based approaches"

Connected through hyperedge HE-2 (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"
    - "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"
    - "securing uav communications via joint trajectory and power control"

Connected through hyperedge HE-3 (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"
    - "capacity characterization of uav enabled two user broadcast channel"
    - "3 d placement of an unmanned aerial vehicle base station for maximum coverage of users with different qos requirements"
    - "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-4 (induced by source paper "radio map based 3d path planning for cellular connected uav"):
  with members:
    - "trajectory design for cellular connected uav under outage duration constraint"
    - "interference management for cellular connected uavs a deep reinforcement learning approach"
    - "connectivity aware uav path planning with aerial coverage maps"
    - "hybrid offline online design for uav enabled data harvesting in probabilistic los channel"
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "trajectory optimization for cellular connected uav under outage duration constraint"
    - "comp in the sky uav placement and movement optimization for multi user communications"
    - "exploiting noma for multi beam uav communication in cellular uplink"

Connected through hyperedge HE-5 (induced by source paper "cooperative downlink interference transmission and cancellation for cellular connected uav a divide and conquer approach"):
  with members:
    - "uav communications for 5g and beyond recent advances and future trends"
    - "understanding uav cellular communications from existing networks to massive mimo"
    - "beyond 5g with uavs foundations of a 3d wireless cellular network"
    - "cellular connected uav uplink association power control and interference coordination"
    - "multi beam uav communication in cellular uplink cooperative interference cancellation and sum rate maximization"
    - "the sky is not the limit lte for unmanned aerial vehicles"
    - "interference mitigation methods for unmanned aerial vehicles served by cellular networks"
    - "uplink cooperative noma for cellular connected uav"

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)