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 "aeronautical ad hoc networking for the internet above the clouds"):
  Abstract: The engineering vision of relying on the “smart sky” for supporting air traffic and the “internet-above-the-clouds” for in-flight entertainment has become imperative for the future aircraft industry. Aeronautical  ad hoc  networking (AANET) constitutes a compelling concept for providing broadband communications above clouds by extending the coverage of air-to-ground (A2G) networks to oceanic and remote airspace via autonomous and self-configured wireless networking among commercial passenger airplanes. The AANET concept may be viewed as a new member of the family of mobile  ad hoc  networks (MANETs) in action above the clouds. However, AANETs have more dynamic topologies, larger and more variable geographical network size, stricter security requirements, and more hostile transmission conditions. These specific characteristics lead to more grave challenges in aircraft mobility modeling, aeronautical channel modeling, and interference mitigation as well as in network scheduling and routing. This paper provides an overview of AANET solutions by characterizing the associated scenarios, requirements, and challenges. Explicitly, the research addressing the key techniques of AANETs, such as their mobility models, network scheduling and routing, security, and interference, is reviewed. Furthermore, we also identify the remaining challenges associated with developing AANETs and present their prospective solutions as well as open issues. The design framework of AANETs and the key technical issues are investigated along with some recent research results. Furthermore, a range of performance metrics optimized in designing AANETs and a number of representative multiobjective optimization algorithms are outlined.

Includes members:
  Member "optimizing space air ground integrated networks by artificial intelligence":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "creating efficient blockchains for the internet of things by coordinated satellite terrestrial networks")
  Member "regularized zero forcing precoding aided adaptive coding and modulation for large scale antenna array based air to air communications":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "boosting fronthaul capacity global optimization of power sharing for centralized radio access network")
  Member "a survey of multi objective optimization in wireless sensor networks metrics algorithms and open problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "thirty years of machine learning the road to pareto optimal next generation wireless networks")
  Member "optical communication in space challenges and mitigation techniques":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "unmanned aerial vehicles uavs a survey on civil applications and key research challenges")
  Member "adaptive coding and modulation for large scale antenna array based aeronautical communications in the presence of co channel interference":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "secure millimeter wave cloud radio access networks relying on microwave multicast fronthaul")
  Member "survey of important issues in uav communication networks":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "throughput maximization of mixed fso rf uav aided mobile relaying with a buffer")
  Member "on the security of the automatic dependent surveillance broadcast protocol":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "uav swarm enabled aerial comp a physical layer security perspective")
  Member "security challenges in mobile ad hoc networks a survey":
    also connected through other hyperedges:
      (none)

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)