human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "optimal deployments of uavs with directional antennas for a power efficient coverage"):
  Abstract: Author(s): Guo, Jun; Walk, Philipp; Jafarkhani, Hamid | Abstract: To provide a reliable wireless uplink for users in a given ground area, one can deploy Unmanned Aerial Vehicles (UAVs) as base stations (BSs). In another application, one can use UAVs to collect data from sensors on the ground. For a power-efficient and scalable deployment of such flying BSs, directional antennas can be utilized to efficiently cover arbitrary 2-D ground areas. We consider a large-scale wireless path-loss model with a realistic angle-dependent radiation pattern for the directional antennas. Based on such a model, we determine the optimal 3-D deployment of N UAVs to minimize the average transmit-power consumption of the users in a given target area. The users are assumed to have identical transmitters with ideal omnidirectional antennas and the UAVs have identical directional antennas with given half-power beamwidth (HPBW) and symmetric radiation pattern along the vertical axis. For uniformly distributed ground users, we show that the UAVs have to share a common flight height in an optimal power-efficient deployment. We also derive in closed-form the asymptotic optimal common flight height of $N$ UAVs in terms of the area size, data-rate, bandwidth, HPBW, and path-loss exponent.

Includes members:
  Member "energy efficient resource allocation in uav enabled mobile edge computing networks":
    also connected through other hyperedges:
      (none)
  Member "using quantization to deploy heterogeneous nodes in two tier wireless sensor networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "age of information in multiple sensing")
  Member "energy minimization for wireless communication with rotary wing uav":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "joint trajectory and resource allocation design for energy efficient secure uav communication systems")
  Member "quantizers with parameterized distortion measures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "using quantization to deploy heterogeneous nodes in two tier wireless sensor networks")
  Member "reshaping cellular networks for the sky the major factors and feasibility":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "cellular connectivity for uavs network modeling performance analysis and design guidelines")
  Member "backhaul for low altitude uavs in urban environments":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach")
  Member "deployment and trajectory optimization for uavs a quantization theory approach":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "outage optimized deployment of uavs")
  Member "joint altitude and beamwidth optimization for uav enabled multiuser communications":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "energy efficient resource allocation in uav enabled mobile edge computing networks")

Question: Please tell me which class the source paper 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)