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 "grant free radio access iot networks scalability analysis in coexistence scenarios"):
  Abstract: IoT networks with grant-free radio access, like SigFox and LoRa, offer low-cost durable communications over unlicensed band. These networks are becoming more and more popular due to the ever-increasing need for ultra durable, in terms of battery lifetime, IoT networks. Most studies evaluate the system performance assuming single radio access technology deployment. In this paper, we study the impact of coexisting competing radio access technologies on the system performance. Considering $\mathpzc K$ technologies, defined by time and frequency activity factors, bandwidth, and power, which share a set of radio resources, we derive closed-form expressions for the successful transmission probability, expected battery lifetime, and experienced delay as a function of distance to the serving access point. Our analytical model, which is validated by simulation results, provides a tool to evaluate the coexistence scenarios and analyze how introduction of a new coexisting technology may degrade the system performance in terms of success probability and battery lifetime. We further investigate solutions in which this destructive effect could be compensated, e.g., by densifying the network to a certain extent and utilizing joint reception.

Includes members:
  Member "grant free radio access for short packet communications over 5g networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "space diversity based grant free random access for critical and non critical iot services")
  Member "on lorawan scalability empirical evaluation of susceptibility to inter network interference":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space")
  Member "lorawan in the wild measurements from the things network":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "lora in the field insights from networking the smart city hamburg with riot")
  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")
  Member "e 2 mac energy efficient medium access for massive m2m communications":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "performance evaluation and optimization of lpwa iot networks a stochastic geometry approach")
  Member "understanding the limits of lorawan":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "deepsense enabling carrier sense in low power wide area networks using deep learning")
  Member "2d time frequency interference modelling using stochastic geometry for performance evaluation in low power wide area networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "optimal secure two layer iot network design")
  Member "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios":
    also connected through other hyperedges:
      - Hyperedge HE-8 (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.IT(Information Theory)