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: "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans"
  Abstract: Abstract   Spatial Reuse (SR) has recently gained attention to maximize the performance of IEEE 802.11 Wireless Local Area Networks (WLANs). Decentralized mechanisms are expected to be key in the development of SR solutions for next-generation WLANs, since many deployments are characterized by being uncoordinated by nature. However, the potential of decentralized mechanisms is limited by the significant lack of knowledge with respect to the overall wireless environment. To shed some light on this subject, we show the main considerations and possibilities of applying online learning to address the SR problem in uncoordinated WLANs. In particular, we provide a solution based on Multi-Armed Bandits (MABs) whereby independent WLANs dynamically adjust their frequency channel, transmit power and sensitivity threshold. To that purpose, we provide two different strategies, which refer to selfish and environment-aware learning. While the former stands for pure individual behavior, the second one considers the performance experienced by surrounding networks, thus taking into account the impact of individual actions on the environment. Through these two strategies we delve into practical issues of applying MABs in wireless networks, such as convergence guarantees or adversarial effects. Our simulation results illustrate the potential of the proposed solutions for enabling SR in future WLANs. We show that substantial improvements on network performance can be achieved regarding throughput and fairness.

Connected through hyperedge HE-1 (induced by source paper "multi armed bandits for decentralized ap selection in enterprise wlans"):
  with members:
    - "introduction to multi armed bandits"
    - "the tmb path loss model for 5 ghz indoor wifi scenarios on the empirical relationship between rssi mcs and spatial streams"
    - "a tutorial on thompson sampling"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"
    - "ieee 802 11ax high efficiency wlans"
    - "decentralized ap selection in large scale wireless lans considering multi ap interference"
    - "channel selection for network assisted d2d communication via no regret bandit learning with calibrated forecasting"
    - "contextual bandits with similarity information"

Connected through hyperedge HE-2 (induced by source paper "spatial reuse in ieee 802 11ax 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"
    - "dynamic channel bonding in spatially distributed 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 "on the performance of the spatial reuse operation in ieee 802 11ax wlans"):
  with members:
    - "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"
    - "the tmb path loss model for 5 ghz indoor wifi scenarios on the empirical relationship between rssi mcs and spatial streams"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"

Connected through hyperedge HE-4 (induced by source paper "komondor a wireless network simulator for next generation high density wlans"):
  with members:
    - "to overlap or not to overlap enabling channel bonding in high density wlans"
    - "dynamic channel bonding in spatially distributed 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"

Connected through hyperedge HE-5 (induced by source paper "target wake time scheduled access in ieee 802 11ax wlans"):
  with members:
    - "the tmb path loss model for 5 ghz indoor wifi scenarios on the empirical relationship between rssi mcs and spatial streams"
    - "ap initiated multi user transmissions in ieee 802 11ax wlans"
    - "collaborative spatial reuse in wireless networks via selfish multi armed bandits"
    - "breaking the interference barrier in dense wireless networks with interference alignment"
    - "ieee 802 11ax high efficiency wlans"
    - "traffic differentiation in dense collision free wlans using csma eca"

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)