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: "dynamic channel bonding in spatially distributed high density wlans"
  Abstract: In this paper, we discuss the effects on throughput and fairness of dynamic channel bonding (DCB) in spatially distributed high-density wireless local area networks (WLANs). First, we present an analytical framework based on continuous-time Markov networks (CTMNs) for depicting the behavior of different DCB policies in spatially distributed scenarios, where nodes are not required to be within the carrier sense range of each other. Then, we assess the performance of DCB in high-density IEEE 802.11ac/ax WLANs by means of simulations. We show that there may be critical interrelations among nodes in the spatial domain - even if they are located outside the carrier sense range of each other - in a chain reaction manner. Results also reveal that, while always selecting the widest available channel normally maximizes the individual long-term throughput, it often generates unfair situations where other WLANs starve. Moreover, we show that there are scenarios where DCB with stochastic channel width selection improves the latter approach both in terms of individual throughput and fairness. It follows that there is not a unique optimal DCB policy for every case. Instead, smarter bandwidth adaptation is required in the challenging scenarios of next-generation WLANs.

Connected through hyperedge HE-1 (induced by source paper "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans"):
  with members:
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "performance analysis of dynamic channel bonding in spatially distributed high density wlans"
    - "implications of decentralized q learning resource allocation in wireless networks"
    - "ieee 802 11ax high efficiency wlans"
    - "multi player bandits a musical chairs approach"
    - "joint channel selection and power control in infrastructureless wireless networks a multiplayer multiarmed bandit framework"
    - "channel selection for network assisted d2d communication via no regret bandit learning with calibrated forecasting"
    - "further optimal regret bounds for thompson sampling"

Connected through hyperedge HE-2 (induced by source paper "spatial reuse in ieee 802 11ax wlans"):
  with members:
    - "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans"
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "komondor a wireless network simulator for next generation high density wlans"
    - "survey and performance evaluation of the upcoming next generation wlan standard ieee 802 11ax"
    - "optimal resource allocation in ieee 802 11ax uplink ofdma with scheduled access"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"
    - "mu mimo mac protocols for wireless local area networks a survey"
    - "effective static and adaptive carrier sensing for dense wireless csma networks"

Connected through hyperedge HE-3 (induced by source paper "online primary channel selection for dynamic channel bonding in high density wlans"):
  with members:
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "komondor a wireless network simulator for next generation high density wlans"
    - "the tmb path loss model for 5 ghz indoor wifi scenarios on the empirical relationship between rssi mcs and spatial streams"
    - "on the interactions between multiple overlapping wlans using channel bonding"

Connected through hyperedge HE-4 (induced by source paper "combining software defined networks and machine learning to enable self organizing wlans"):
  with members:
    - "ieee 802 11ax high efficiency wlans"

Connected through hyperedge HE-5 (induced by source paper "to overlap or not to overlap enabling channel bonding in high density wlans"):
  with members:
    - "komondor a wireless network simulator for next generation high density wlans"
    - "toward low latency and ultra reliable virtual reality"
    - "a channel allocation algorithm to maximize aggregate throughputs in dcb wlans"
    - "ieee 802 11ax high efficiency wlans"
    - "on the interactions between multiple overlapping wlans using channel bonding"
    - "analysis of dynamic channel bonding in dense networks of wlans"

Connected through hyperedge HE-6 (induced by source paper "komondor a wireless network simulator for next generation high density wlans"):
  with members:
    - "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans"
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "ns3 gym extending openai gym for networking research"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"
    - "ieee 802 11ax high efficiency wlans"
    - "throughput analysis in csma ca networks using continuous time markov networks a tutorial"

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)