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 "backhaul for low altitude uavs in urban environments"):
  Abstract: Unmanned Aerial Vehicles (UAVs) acting as access points in cellular networks require wireless backhauls to the core network. In this paper we employ stochastic geometry to carry out an analysis of the UAV backhaul performance that can be achieved with a network of dedicated ground stations. We provide analytical expressions for the probability of successfully establishing a backhaul and the expected data rate over the backhaul link, given either an LTE or a millimeter-wave backhaul. We demonstrate that increasing the density of the ground station network gives diminishing returns on the performance of the UAV backhaul, and that for an LTE backhaul the ground stations can benefit from being colocated with an existing base station network.

Includes members:
  Member "the sky is not the limit lte for unmanned aerial vehicles":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "performance analysis of mobile cellular connected drones under practical antenna configurations")
  Member "modeling and analyzing millimeter wave cellular systems":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach")
  Member "inter operator resource management for millimeter wave multi hop backhaul networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "max min fair resource allocation in millimetre wave backhauls")
  Member "coverage analysis for low altitude uav networks in urban environments":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "trajectory design for multiple uav assisted wireless networks")
  Member "coexistence of terrestrial and aerial users in cellular networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "performance analysis of mobile cellular connected drones under practical antenna configurations")
  Member "a stochastic geometry model of backhaul and user coverage in urban uav networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "coverage analysis of uavs in millimeter wave networks a stochastic geometry approach")
  Member "downlink and uplink cell association with traditional macrocells and millimeter wave small cells":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "intelligent uav base station selection in urban environments a supervised learning approach")
  Member "fso based vertical backhaul fronthaul framework for 5g wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "cellular traffic offloading through tethered uav deployment and user association")

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.NI(Networking and Internet Architecture)