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 "ap initiated multi user transmissions in ieee 802 11ax wlans"):
  Abstract: Next-generation 802.11ax WLANs will make extensive use of multi-user communications in both downlink (DL) and uplink (UL) directions to achieve high and efficient spectrum utilization in scenarios with many user stations per access point. It will become possible with the support of multi-user (MU) multiple input, multiple output (MIMO) and orthogonal frequency division multiple access (OFDMA) transmissions. In this paper, we first overview the novel characteristics introduced by IEEE 802.11ax to implement AP-initiated OFDMA and MU-MIMO transmissions in both downlink and uplink directions. Namely, we describe the changes made at the physical layer and at the medium access control layer to support OFDMA, the use of \emph{trigger frames} to schedule uplink multi-user transmissions, and the new \emph{multi-user RTS/CTS mechanism} to protect large multi-user transmissions from collisions. Then, in order to study the achievable throughput of an 802.11ax network, we use both mathematical analysis and simulations to numerically quantify the benefits of MU transmissions and the impact of 802.11ax overheads on the WLAN saturation throughput. Results show the advantages of MU transmissions in scenarios with many user stations, also providing some novel insights on the conditions in which 802.11ax WLANs are able to maximize their performance, such as the existence of an optimal number of active user stations in terms of throughput, or the need to provide strict prioritization to AP-initiated MU transmissions to avoid collisions with user stations.

Includes members:
  Member "performance analysis of dynamic channel bonding in spatially distributed high density wlans":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "potential and pitfalls of multi armed bandits for decentralized spatial reuse in wlans")
  Member "a high efficiency mac protocol for wlans providing fairness in dense scenarios":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "exploiting csma eca and adaptive sensitivity control for simultaneous transmit and receive in ieee 802 11 wlans")
  Member "ieee 802 11ax high efficiency wlans":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "deep learning enabled optimization of downlink beamforming under per antenna power constraints algorithms and experimental demonstration")
  Member "collision free operation in high density wlan deployments":
    also connected through other hyperedges:
      (none)
  Member "on the interactions between multiple overlapping wlans using channel bonding":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "online primary channel selection for dynamic channel bonding in high density wlans")
  Member "mu mimo mac protocols for wireless local area networks a survey":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spatial reuse in ieee 802 11ax wlans")
  Member "resource management for ofdma based next generation 802 11 wlans":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "advanced ieee 802 11ax tcp aware scheduling under unreliable channels")
  Member "analysis of dynamic channel bonding in dense networks of wlans":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "dynamic channel bonding in spatially distributed high density wlans")

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.NI(Networking and Internet Architecture)