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: "understanding the iot connectivity landscape a contemporary m2m radio technology roadmap"
  Abstract: This article addresses the market-changing phenomenon of the Internet of Things (IoT), which relies on the underlying paradigm of machine-to-machine (M2M) communications to integrate a plethora of various sensors, actuators, and smart meters across a wide spectrum of businesses. Today the M2M landscape features an extreme diversity of available connectivity solutions which, due to the enormous economic promise of the IoT, need to be harmonized across multiple industries. To this end, we comprehensively review the most prominent existing and novel M2M radio technologies, as well as share our first-hand real-world deployment experiences, with the goal to provide a unified insight into enabling M2M architectures, unique technology features, expected performance, and related standardization developments. We pay particular attention to the cellular M2M sector employing 3GPP LTE technology. This work is a systematic recollection of our many recent research, industrial, entrepreneurial, and standardization efforts within the contemporary M2M ecosystem.

Connected through hyperedge HE-1 (induced by source paper "a novel communication paradigm for high capacity and security via programmable indoor wireless environments in next generation wireless systems"):
  with members:
    - "fault adaptive routing in metasurface controller networks"
    - "a novel protocol for network controlled metasurfaces"
    - "physical layer security in millimeter wave cellular networks"
    - "secure massive mimo transmission with an active eavesdropper"
    - "physical layer security for massive mimo an overview on passive eavesdropping and active attacks"

Connected through hyperedge HE-2 (induced by source paper "dynamic binary countdown for massive iot random access in dense 5g networks"):
  with members:
    - "enabling lte rach collision multiplicity detection via machine learning"
    - "on the reliability of lte random access performance bounds for machine to machine burst resolution time"
    - "tractable stochastic geometry model for iot access in lte networks"
    - "random access for machine type communication based on bloom filtering"

Connected through hyperedge HE-3 (induced by source paper "a comparative survey of lpwa networking"):
  with members:
    - "low power wide area network analysis can lora scale"
    - "low power wide area networks an overview"
    - "random access preamble design and detection for 3gpp narrowband iot systems"
    - "emerging wireless technologies in the internet of things a comparative study"
    - "understanding the limits of lorawan"
    - "internet of things iot a vision architectural elements and future directions"

Connected through hyperedge HE-4 (induced by source paper "ultra reliable communication via optimum power allocation for type i arq in finite block length"):
  with members:
    - "energy efficient adaptive power allocation for incremental mimo systems"
    - "green communication via type i arq finite block length analysis"
    - "finite block length analysis of the incremental redundancy harq"
    - "ultra reliable communication in 5g wireless systems"
    - "quasi static multiple antenna fading channels at finite blocklength"

Connected through hyperedge HE-5 (induced by source paper "d2d communications in lorawan low power wide area network from idea to empirical validation"):
  with members:
    - "on lorawan scalability empirical evaluation of susceptibility to inter network interference"
    - "low power wide area network analysis can lora scale"

Connected through hyperedge HE-6 (induced by source paper "on lorawan scalability empirical evaluation of susceptibility to inter network interference"):
  with members:
    - "low power wide area network analysis can lora scale"
    - "mitigating inter network interference in lora networks"

Connected through hyperedge HE-7 (induced by source paper "generalized sir analysis for stochastic heterogeneous wireless networks theory and applications"):
  with members:
    - "optimal cell load and throughput in green small cell networks with generalized cell association"
    - "optimal discrete power control in poisson clustered ad hoc networks"
    - "the performance of successive interference cancellation in random wireless networks"
    - "downlink coordinated multi point with overhead modeling in heterogeneous cellular networks"
    - "multi antenna communication in ad hoc networks achieving mimo gains with simo transmission"
    - "ergodic transmission capacity of wireless ad hoc networks with interference management"
    - "two way transmission capacity of wireless ad hoc networks"
    - "fractional power control for decentralized wireless networks"

Connected through hyperedge HE-8 (induced by source paper "energy efficient scheduling and grouping for machine type communications over cellular networks"):
  with members:
    - "e 2 mac energy efficient medium access for massive m2m communications"
    - "aggregation and trunking of m2m traffic via d2d connections"
    - "a survey on device to device communication in cellular networks"
    - "zero outage cellular downlink with fixed rate d2d underlay"
    - "reliable reporting for massive m2m communications with periodic resource pooling"
    - "power efficient system design for cellular based machine to machine communications"

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)