human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "low power wide area network analysis can lora scale"
  Abstract: Low power wide area (LPWA) networks are making spectacular progress from design, standardization, to commercialization. At this time of fast-paced adoption, it is of utmost importance to analyze how well these technologies will scale as the number of devices connected to the Internet of Things inevitably grows. In this letter, we provide a stochastic geometry framework for modeling the performance of a single gateway LoRa network, a leading LPWA technology. Our analysis formulates the unique peculiarities of LoRa, including its chirp spread-spectrum modulation technique, regulatory limitations on radio duty cycle, and use of ALOHA protocol on top, all of which are not as common in today’s commercial cellular networks. We show that the coverage probability drops exponentially as the number of end-devices grows due to interfering signals using the same spreading sequence. We conclude that this fundamental limiting factor is perhaps more significant toward LoRa scalability than for instance spectrum restrictions. Our derivations for co-spreading factor interference found in LoRa networks enables rigorous scalability analysis of such networks.

Connected through hyperedge HE-1 (induced by source paper "performance analysis of single cell adaptive data rate enabled lorawan"):
  with members:
    - "how agile is the adaptive data rate mechanism of lorawan"
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "fair adaptive data rate allocation and power control in lorawan"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"
    - "on stochastic geometry modeling of cellular uplink transmission with truncated channel inversion power control"

Connected through hyperedge HE-2 (induced by source paper "lora beyond aloha an investigation of alternative random access protocols"):
  with members:
    - "analysis of lorawan uplink with multiple demodulating paths and capture effect"
    - "slotted aloha on lorawan design analysis and deployment"
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"

Connected through hyperedge HE-3 (induced by source paper "tackling contention through cooperation a distributed federation in lorawan space"):
  with members:
    - "on lorawan scalability empirical evaluation of susceptibility to inter network interference"
    - "does bidirectional traffic do more harm than good in lorawan based lpwa networks"
    - "low power wide area networks an overview"
    - "mitigating inter network interference in lora networks"

Connected through hyperedge HE-4 (induced by source paper "hybrid coded replication in lora networks"):
  with members:
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "application layer coding for iot benefits limitations and implementation aspects"
    - "low power wide area networks an overview"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"

Connected through hyperedge HE-5 (induced by source paper "performance analysis of clustered lora networks"):
  with members:
    - "deep learning in physical layer communications"
    - "low power wide area networks for sustainable iot"
    - "mitigating inter network interference in lora networks"
    - "wirelessly powered backscatter communication networks modeling coverage and capacity"
    - "enhancing the physical layer security of non orthogonal multiple access in large scale networks"
    - "modeling and performance analysis of clustered device to device networks"
    - "long range communications in unlicensed bands the rising stars in the iot and smart city scenarios"
    - "on the performance of non orthogonal multiple access in 5g systems with randomly deployed users"

Connected through hyperedge HE-6 (induced by source paper "resource allocation in wireless powered iot networks"):
  with members:
    - "low power wide area networks for sustainable iot"
    - "low power wide area networks an overview"
    - "online learning schemes for power allocation in energy harvesting communications"
    - "wireless powered communication networks an overview"
    - "wireless networks with rf energy harvesting a contemporary survey"
    - "throughput maximization in wireless powered communication networks"
    - "multi antenna wireless powered communication with energy beamforming"
    - "peer effects and stability in matching markets"

Connected through hyperedge HE-7 (induced by source paper "joint allocation strategies of power and spreading factors with imperfect orthogonality in lora networks"):
  with members:
    - "resource allocation in wireless powered iot networks"
    - "decoding superposed lora signals"
    - "lora throughput analysis with imperfect spreading factor orthogonality"
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "matching theory for future wireless networks fundamentals and applications"

Connected through hyperedge HE-8 (induced by source paper "capture aware sequential waterfilling for lorawan adaptive data rate"):
  with members:
    - "how agile is the adaptive data rate mechanism of lorawan"
    - "scalability analysis of a lora network under imperfect orthogonality"
    - "fair adaptive data rate allocation and power control in lorawan"
    - "on lorawan scalability empirical evaluation of susceptibility to inter network interference"
    - "mitigating inter network interference in lora networks"

Question: Please tell me which class the center node 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)