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 thorough study of lorawan performance under different parameter settings"):
  Abstract: LoRaWAN is an emerging Low-Power Wide Area Network (LPWAN) technology, which is gaining momentum thanks to its flexibility and ease of deployment. Conversely to other LPWAN solutions, LoRaWAN indeed permits the configuration of several network parameters that affect different network performance indexes, such as energy efficiency, fairness, and capacity, in principle making it possible to adapt the network behavior to the specific requirements of the application scenario. Unfortunately, the complex and sometimes elusive interactions among the different network components make it rather difficult to predict the actual effect of a certain parameters setting, so that flexibility can turn into a stumbling block if not deeply understood. In this paper we shed light on such complex interactions, by observing and explaining the effect of different parameters settings in some illustrative scenarios. The simulation-based analysis reveals various trade-offs and highlights some inefficiencies in the design of the LoRaWAN standard. Furthermore, we show how significant performance gains can be obtained by wisely setting the system parameters, possibly in combination with some novel network management policies.

Includes members:
  Member "employing p csma on a lora network simulator":
    also connected through other hyperedges:
      (none)
  Member "uncoordinated access schemes for the iot approaches regulations and performance":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "unlicensed spectrum sharing for massive internet of things communications")
  Member "does bidirectional traffic do more harm than good in lorawan based lpwa networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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-3 (induced by source paper "a complete lorawan model for single gateway scenarios")
  Member "scalability analysis of large scale lorawan networks in ns 3":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "slotted aloha on lorawan design analysis and deployment")
  Member "m2m massive access in lte rach performance evaluation in a smart city scenario":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spatiotemporal stochastic modeling of iot enabled cellular networks scalability and stability analysis")
  Member "internet of things applications and challenges in technology and standardization":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "machine learning for resource management in cellular and iot networks potentials current solutions and open challenges")

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)