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: "uav enabled radio access network multi mode communication and trajectory design"
  Abstract: In this paper, we consider an unmanned aerial vehicle (UAV)-enabled radio access network (RAN) with the UAV acting as an aerial platform to communicate with a set of ground users (GUs) in a variety of modes of practical interest, including data collection in the uplink, data transmission in the downlink, and data relaying between GUs involving both the uplink and downlink. Under this general framework, two UAV operation scenarios are considered:   periodic operation , where the UAV serves the GUs in a periodic manner by following a certain trajectory repeatedly, and  one-time operation  where the UAV serves the GUs with one single fly and then leaves for another mission. In each scenario, we aim to minimize the UAV periodic flight duration or mission completion time, while satisfying the target data requirement of each GU via a joint UAV trajectory and communication resource allocation design approach. Iterative algorithms are proposed to find efficient locally optimal solutions by utilizing successive convex optimization and block coordinate descent techniques. Moreover, as the quality of the solutions obtained by the proposed algorithms critically depends on the initial UAV trajectory adopted, we propose new methods to design the initial trajectories for both operation scenarios by leveraging the existing results for solving the classic Traveling Salesman Problem and Pickup-and-Delivery Problem. Numerical results show that the proposed trajectory initialization designs lead to significant performance gains compared to the benchmark initialization based on circular trajectory.

Connected through hyperedge HE-1 (induced by source paper "3d trajectory optimization in rician fading for uav enabled data harvesting"):
  with members:
    - "age optimal trajectory planning for uav assisted data collection"
    - "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"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "learning to communicate in uav aided wireless networks map based approaches"
    - "cellular enabled uav communication a connectivity constrained trajectory optimization perspective"
    - "ultra reliable uav communication using altitude and cooperation diversity"
    - "trajectory design for distributed estimation in uav enabled wireless sensor network"

Connected through hyperedge HE-2 (induced by source paper "maritime coverage enhancement using uavs coordinated with hybrid satellite terrestrial networks"):
  with members:
    - "exploiting the shipping lane information for energy efficient maritime communications"
    - "hybrid satellite terrestrial communication networks for the maritime internet of things key technologies opportunities and challenges"
    - "uav communications for 5g and beyond recent advances and future trends"
    - "uav aided offloading for cellular hotspot"
    - "when mmwave communications meet network densification a scalable interference coordination perspective"
    - "placement optimization of uav mounted mobile base stations"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "network formation in the sky unmanned aerial vehicles for multi hop wireless backhauling"

Connected through hyperedge HE-3 (induced by source paper "receding horizon optimization for energy efficient uav communication"):
  with members:
    - "3d trajectory optimization in rician fading for uav enabled data harvesting"
    - "optimal 3d trajectory design and resource allocation for solar powered uav communication systems"
    - "energy minimization for wireless communication with rotary wing uav"
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "energy efficient uav communication with trajectory optimization"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-4 (induced by source paper "a new store then amplify and forward protocol for uav mobile relaying"):
  with members:
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

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)