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: "energy efficient uav communication with trajectory optimization"
  Abstract: Wireless communication with unmanned aerial vehicles (UAVs) is a promising technology for future communication systems. In this paper, we study energy-efficient UAV communication with a ground terminal via optimizing the UAV's trajectory, a new design paradigm that jointly considers both the communication throughput and the UAV's energy consumption. To this end, we first derive a theoretical model on the propulsion energy consumption of fixed-wing UAVs as a function of the UAV's flying speed, direction and acceleration, based on which the energy efficiency of UAV communication is defined. Then, for the case of unconstrained trajectory optimization, we show that both the rate-maximization and energy-minimization designs lead to vanishing energy efficiency and thus are energy-inefficient in general. Next, we introduce a practical circular UAV trajectory, under which the UAV's flight radius and speed are optimized to maximize the energy efficiency for communication. Furthermore, an efficient design is proposed for maximizing the UAV's energy efficiency with general constraints on its trajectory, including its initial/final locations and velocities, as well as maximum speed and acceleration. Numerical results show that the proposed designs achieve significantly higher energy efficiency for UAV communication as compared with other benchmark schemes.

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"
    - "securing uav communications via joint trajectory and power control"
    - "energy minimization for wireless communication with rotary wing uav"
    - "the sky is not the limit lte for unmanned aerial vehicles"

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"
    - "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-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"
    - "cognitive uav communication via joint maneuver and power control"
    - "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"

Connected through hyperedge HE-4 (induced by source paper "cellular traffic offloading through tethered uav deployment and user association"):
  with members:
    - "backhaul aware optimization of uav base station location and bandwidth allocation for profit maximization"
    - "capacity and coverage enhancement using long endurance tethered airborne base stations"
    - "stochastic geometry analysis of hybrid aerial terrestrial networks with mmwave backhauling"
    - "cellular connectivity for uavs network modeling performance analysis and design guidelines"
    - "on the 3 d placement of airborne base stations using tethered uavs"
    - "energy minimization for wireless communication with rotary wing uav"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "a stochastic model for uav networks positioned above demand hotspots in urban environments"

Connected through hyperedge HE-5 (induced by source paper "throughput maximization of mixed fso rf uav aided mobile relaying with a buffer"):
  with members:
    - "a qos oriented trajectory optimization in swarming unmanned aerial vehicles communications"
    - "a uav mounted free space optical communication trajectory optimization for flight time"
    - "energy minimization for wireless communication with rotary wing uav"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "survey of important issues in uav communication networks"
    - "fso based vertical backhaul fronthaul framework for 5g wireless networks"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"
    - "unmanned aerial vehicle with underlaid device to device communications performance and tradeoffs"

Connected through hyperedge HE-6 (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"
    - "securing uav communications via joint trajectory and power control"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"

Connected through hyperedge HE-7 (induced by source paper "power constrained trajectory optimization for wireless uav relays with random requests"):
  with members:
    - "trajectory optimization for rotary wing uavs in wireless networks with random requests"
    - "energy minimization for wireless communication with rotary wing uav"
    - "a tutorial on uavs for wireless networks applications challenges and open problems"
    - "survey on uav cellular communications practical aspects standardization advancements regulation and security challenges"
    - "dynamic base station repositioning to improve performance of drone small cells"
    - "survey of important issues in uav communication networks"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-8 (induced by source paper "communication efficient massive uav online path control federated learning meets mean field game theory"):
  with members:
    - "massive autonomous uav path planning a neural network based mean field game theoretic approach"
    - "remote uav online path planning via neural network based opportunistic control"
    - "reinforcement learning for uav attitude control"
    - "massive uav to ground communication and its stable movement control a mean field approach"
    - "autonomous uav navigation using reinforcement learning"
    - "virtualized control over fog interplay between reliability and latency"
    - "communication efficient learning of deep networks from decentralized data"

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)