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 "a complete lorawan model for single gateway scenarios"):
  Abstract: LoRaWAN is a Low Power Wide Area Network technology featuring long transmission range and a simple MAC layer that have favored its adoption and usage in large-scale deployments. While LoRaWAN's main use case consists in unconfirmed sensor data collection, the standard also considers confirmed traffic, enabling control applications and reliable services. Although this feature does have important implications in terms of system settings and performance, it has mostly been overlooked in the literature. To contribute filling this gap, in this paper we provide a mathematical model to estimate the performance of a LoRaWAN gateway serving a set of devices that may employ confirmed traffic. The model also features a set of parameters that can be adjusted to investigate different behaviors of the gateway, making it possible to carry out a systematic analysis of various trade-offs. The accuracy of the proposed model is validated against ns-3 LoRaWAN simulations.

Includes members:
  Member "a thorough study of lorawan performance under different parameter settings":
    also connected through other hyperedges:
      (none)
  Member "does bidirectional traffic do more harm than good in lorawan based lpwa networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space")
  Member "analysis of latency and mac layer performance for class a lorawan":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "a thorough study of lorawan performance under different parameter settings")
  Member "scalability analysis of large scale lorawan networks in ns 3":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a thorough study of lorawan performance under different parameter settings")
  Member "low power wide area network analysis can lora scale":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan")

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)