Pith. sign in

REVIEW 3 minor 1 cited by

Multi-AP Coordination in 802.11bn is positioned to deliver at least 25 percent gains in throughput, tail latency, and packet loss over 802.11be operations.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · grok-4.3

2026-06-27 05:08 UTC pith:PJRYJ3J2

load-bearing objection This is a clear tutorial on 802.11bn MAPC that consolidates the standardization picture and ships an open simulator, but the performance numbers stay at the level of task-group targets rather than fresh results.

arxiv 2606.13759 v1 pith:PJRYJ3J2 submitted 2026-06-11 cs.NI cs.ITeess.SPmath.IT

A Tutorial on IEEE 802.11bn Multi-AP Coordination for Wi-Fi 8: From Standardization to Performance Evaluation

classification cs.NI cs.ITeess.SPmath.IT
keywords IEEE 802.11bnMulti-AP CoordinationWi-Fi 8Ultra High ReliabilityWLAN performancesimulation evaluation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper surveys the Multi-AP Coordination framework introduced in the IEEE 802.11bn amendment to reach Ultra High Reliability targets in Wi-Fi networks. It traces prior coordination approaches, describes the candidate MAPC techniques under standardization, and presents simulation results from the Kom8ndor tool showing the projected performance lift. A sympathetic reader would care because these mechanisms would let multiple access points share channel state and jointly schedule transmissions, directly addressing interference and reliability problems that limit current dense deployments.

Core claim

The 802.11bn task group defines Multi-AP Coordination as a new capability that lets access points exchange information to coordinate spatial reuse, beamforming, and other operations, with candidate features projected to produce at least 25 percent higher throughput, lower 95th-percentile latency, and fewer MPDU losses than the EHT baseline in 802.11be.

What carries the argument

Multi-AP Coordination (MAPC) framework, a set of protocols that enable access points to share information and jointly manage transmissions to improve spectrum utilization and reliability.

Load-bearing premise

The candidate MAPC features will deliver their projected gains once implemented in hardware, without coordination overhead or interoperability issues that cancel out the benefits.

What would settle it

A controlled testbed experiment in a dense indoor setting that measures aggregate throughput, 95th-percentile latency, and MPDU loss under MAPC and finds any of the three metrics improved by less than 25 percent relative to 802.11be.

Watch this falsifier — get emailed when new claim-graph text bears on it.

If this is right

  • Access points in overlapping basic service sets can reduce mutual interference through coordinated scheduling.
  • Time-sensitive traffic experiences lower tail latency because contention and collisions decrease.
  • Packet delivery ratios rise in high-density environments, supporting more reliable operation for many users.
  • The same coordination primitives form a foundation for future extensions such as joint transmission.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Simulation results in the paper imply that real deployments will need low-latency backhaul between access points to realize the gains.
  • The framework could extend to heterogeneous networks that mix Wi-Fi with cellular small cells if signaling protocols are aligned.
  • Further study of energy consumption under MAPC would clarify whether the coordination adds meaningful power cost at the access points.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

0 major / 3 minor

Summary. The manuscript is a tutorial on Multi-AP Coordination (MAPC) in the IEEE 802.11bn (Wi-Fi 8 / UHR) amendment. It reviews prior AP coordination mechanisms, details the 802.11bn MAPC framework and its candidate features, introduces the open-source Kom8ndor simulator, uses it to illustrate the potential of those features to meet the task-group targets of at least 25% gains in throughput, 95th-percentile latency, and MPDU loss relative to 802.11be EHT, and sketches future directions beyond the current amendment.

Significance. If the tutorial and simulator descriptions are accurate, the work is useful for the WLAN community by consolidating standardization material, prior literature, and an open evaluation platform. The explicit release of Kom8ndor as open-source code is a concrete strength that supports reproducibility and further experimentation on MAPC.

minor comments (3)
  1. The abstract and introduction state the 25% UHR targets as expectations from the task group; the simulation section should explicitly clarify whether the reported Kom8ndor runs achieve these targets or serve only as illustrative examples of candidate features.
  2. Section describing the Kom8ndor simulator would benefit from a brief statement on how its 802.11be baseline was validated against published EHT results or other simulators before presenting MAPC deltas.
  3. A few figure captions (e.g., those showing latency CDFs or throughput bars) could be expanded to indicate the exact MAPC feature combination and scenario parameters used.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive summary of our tutorial on Multi-AP Coordination for IEEE 802.11bn, their recognition of the value of the open-source Kom8ndor simulator, and their recommendation of minor revision. No specific major comments were provided in the report.

Circularity Check

0 steps flagged

No significant circularity: tutorial reports external standardization targets

full rationale

The manuscript is a tutorial that reviews the 802.11bn MAPC framework as defined by the IEEE task group and states UHR performance targets (at least 25% gains in throughput, 95th-percentile latency, and MPDU loss versus 802.11be) as external standardization goals rather than quantities derived or fitted inside the paper. Kom8ndor is introduced solely to illustrate candidate features; its use does not create any self-referential loop in which a prediction reduces by construction to a fitted parameter or to a prior self-citation. No self-definitional equations, fitted-input predictions, uniqueness theorems imported from the same authors, or ansatzes smuggled via citation are present. The derivation chain is therefore self-contained against external IEEE benchmarks and prior literature.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper rests on the definitions and targets set by the IEEE 802.11bn task group and on the assumption that simulation results will generalize; no free parameters or invented entities are introduced in the abstract.

axioms (1)
  • domain assumption The IEEE 802.11bn amendment will define MAPC features as described by the task group.
    The tutorial takes the standardization process and its UHR targets as given.

pith-pipeline@v0.9.1-grok · 5869 in / 1249 out tokens · 19807 ms · 2026-06-27T05:08:43.719430+00:00 · methodology

0 comments
read the original abstract

The IEEE 802.11bn amendment defines significant modifications to the standard by establishing Ultra High Reliability (UHR) targets in Wireless Local Area Networks (WLANs). This is expected to deliver substantial enhancements over previous standards, including modes of operation that increase throughput, reduce the 95th percentile of the latency distribution, and decrease MAC Protocol Data Unit (MPDU) loss (all by at least 25%) compared to Extremely High Throughput (EHT) operations defined in the 802.11be amendment. A fundamental innovation for achieving these ambitious goals is the introduction of Multi-Access Point Coordination (MAPC), an unprecedented feature whereby APs will be able to coordinate among themselves to enhance spectrum utilization and advance towards reliability. This paper provides a comprehensive overview and analysis of this key framework. We begin by reviewing existing AP coordination solutions that precede the 802.11bn standard, which serve as a foundation for understanding the transition to the current framework. We then describe the technical 802.11bn MAPC framework as defined by the task group. A detailed overview of each candidate MAPC feature is provided, contextualized with the relevant state-of-the-art. Furthermore, we introduce Kom8ndor, an open-source Wi-Fi 8 simulation tool, to evaluate these candidate MAPC features and showcase their potential to achieve UHR goals. Finally, we outline the future of MAPC beyond 802.11bn, exploring promising directions such as coordination schemes beyond 802.11bn (e.g., Joint Transmission (JT)) and new ideas.

Figures

Figures reproduced from arXiv: 2606.13759 by Aleksandra Kijanka, Boris Bellalta, David L\'opez-P\'erez, Francesca Meneghello, Francesc Wilhelmi, Giovanni Geraci, I\~naki Val, Lorenzo Galati-Giordano.

Figure 1
Figure 1. Figure 1: High-level overview of the MAPC framework. After the discovery phase, during which APs collect information about [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Messages exchanged during MAPC discovery and [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Co-BF operation within two coordinated BSSs. (a) Example deployment, (b) Co-BF simultaneous transmission. [PITH_FULL_IMAGE:figures/full_fig_p006_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Co-BF joint sounding procedure initiated by AP 1. Note that the counterpart sequence to collect STA 2’s CSI (initiated [PITH_FULL_IMAGE:figures/full_fig_p006_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Co-SR operation within two coordinated BSSs. [PITH_FULL_IMAGE:figures/full_fig_p008_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Co-TDMA operation within three coordinated BSSs. (a) Example deployment, (b) Scheduled Co-TDMA transmissions. [PITH_FULL_IMAGE:figures/full_fig_p009_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Co-RTWT operation within two coordinated BSSs. (a) Example deployment, (b) Extended R-TWT SP protection. [PITH_FULL_IMAGE:figures/full_fig_p011_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Scenario 1 (Co-BF): Exhibition hall. TABLE IV: Simulation parameters for Sce. 1 (Co-BF). Parameter Value AP locations (A, B) (3, 0), (6, 0) m STA (A) location (3, 2) m STA (B) location in pos. a and b (7, −2), (3, 1) m Bandwidth, B 80 MHz Transmit power, P 20 dBm Number of antenna elements, Na 8 Antenna spacing, d 0.5λ Traffic load, ρ Full buffer under DCF and dashed lines, under Co-BF. Similarly, the chan… view at source ↗
Figure 9
Figure 9. Figure 9: Performance achieved by each BSS in Sce. 1 under [PITH_FULL_IMAGE:figures/full_fig_p013_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Scenario 2 (Co-SR): Dual residential apartment. [PITH_FULL_IMAGE:figures/full_fig_p014_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Mean throughput achieved by each BSS un [PITH_FULL_IMAGE:figures/full_fig_p014_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: CDF of the channel access delay experienced across [PITH_FULL_IMAGE:figures/full_fig_p014_12.png] view at source ↗
Figure 14
Figure 14. Figure 14: Mean throughput achieved by each BSS in Sce. 3 [PITH_FULL_IMAGE:figures/full_fig_p015_14.png] view at source ↗
Figure 13
Figure 13. Figure 13: Scenario 3 (Co-TDMA): Shared workspace in enter [PITH_FULL_IMAGE:figures/full_fig_p015_13.png] view at source ↗
Figure 15
Figure 15. Figure 15: CDF of the channel access delay experienced by each [PITH_FULL_IMAGE:figures/full_fig_p016_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: New MAPC element used to advertise an AP’s supported coordination schemes, ongoing agreement status, and per [PITH_FULL_IMAGE:figures/full_fig_p019_16.png] view at source ↗
Figure 18
Figure 18. Figure 18: MAPC messages. (a) MAPC Discovery Re￾quest/Response, (b) MAPC Authentication, (c) MAPC Nego￾tiation Request, (d) MAPC Negotiation Response. coordinated beamforming/null steering for 802.11be. [Online]. Available: https://mentor.ieee.org/802.11/dcn/20/11-20-0091-07-00be￾performance-of-parameterized-spatial-reuse-psr-with-coordinated￾beamforming-null-steering-for-802-11be.pptx [26] (2022) Performance of Coo… view at source ↗
Figure 17
Figure 17. Figure 17: Per-scheme MAPC parameter sets included in the [PITH_FULL_IMAGE:figures/full_fig_p020_17.png] view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Kom8ndor: An IEEE 802.11bn-Oriented Simulator for Wi-Fi 8 and Beyond

    cs.NI 2026-06 unverdicted novelty 6.0

    Kom8ndor adds MAPC (Co-TDMA, Co-SR, Co-BF), NPCA, DSO, and an ML wrapper to the Komondor Wi-Fi simulator for 802.11bn research.

Reference graph

Works this paper leans on

80 extracted references · 4 canonical work pages · cited by 1 Pith paper · 1 internal anchor

  1. [1]

    Wi-Fi: 25 Years and Counting,

    G. Geraciet al., “Wi-Fi: 25 Years and Counting,”Proceedings of the IEEE, 2026

  2. [2]

    Future directions for Wi-Fi 8 and beyond,

    E. Reshef and C. Cordeiro, “Future directions for Wi-Fi 8 and beyond,” IEEE Communications Magazine, vol. 60, no. 10, pp. 50–55, 2022

  3. [3]

    What will Wi-Fi 8 be? A primer on IEEE 802.11 bn ultra high reliability,

    L. Galati-Giordano, G. Geraci, M. Carrascosa, and B. Bellalta, “What will Wi-Fi 8 be? A primer on IEEE 802.11 bn ultra high reliability,” IEEE Communications Magazine, vol. 62, no. 8, pp. 126–132, 2024

  4. [4]

    A survey on Multi-AP coordination approaches over emerging WLANs: Future directions and open challenges,

    S. Verma, T. K. Rodrigues, Y . Kawamoto, M. M. Fouda, and N. Kato, “A survey on Multi-AP coordination approaches over emerging WLANs: Future directions and open challenges,”IEEE Communications Surveys & Tutorials, vol. 26, no. 2, pp. 858–889, 2023

  5. [5]

    Wi-Fi 8 unveiled: Key features, multi-AP coordination, and the role of C-TDMA,

    I. Valet al., “Wi-Fi 8 unveiled: Key features, multi-AP coordination, and the role of C-TDMA,”IEEE Communications Magazine, 2025

  6. [6]

    From Wi-Fi 7 to Wi-Fi 8: A survey of technological evolution, emerging applications, challenges, and future aspects,

    E. Charfi, A. Saddoud, and L. C. Fourati, “From Wi-Fi 7 to Wi-Fi 8: A survey of technological evolution, emerging applications, challenges, and future aspects,”Computer Networks, p. 111590, 2025

  7. [7]

    IEEE 802.11 be network throughput optimization with multi-link operation and AP coordination,

    L. Zhang, H. Yin, S. Roy, L. Cao, X. Gao, and V . Sathya, “IEEE 802.11 be network throughput optimization with multi-link operation and AP coordination,”arXiv preprint arXiv:2312.00345, 2023

  8. [8]

    Multi-AP coordination in Wi-Fi 7 exploiting time resources sharing,

    P. Imputato, S. Avallone, and D. Magrin, “Multi-AP coordination in Wi-Fi 7 exploiting time resources sharing,” in2022 IEEE International Mediterranean Conference on Communications and Networking (Med- itCom). IEEE, 2022, pp. 166–171

  9. [9]

    IEEE standard Draft 1.4 for Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Amendment 6: En- hancements for ultra high reliability (UHR),

    “IEEE standard Draft 1.4 for Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. Amendment 6: En- hancements for ultra high reliability (UHR),”IEEE P802.11bn/D1.4, 2026

  10. [10]

    Komon- dor: A wireless network simulator for next-generation high-density WLANs,

    S. Barrachina-Munoz, F. Wilhelmi, I. Selinis, and B. Bellalta, “Komon- dor: A wireless network simulator for next-generation high-density WLANs,” in2019 Wireless Days (WD). IEEE, 2019, pp. 1–8

  11. [11]

    Implementation options for the distribution system in the 802.11 Wireless LAN Infrastructure Network,

    A. El-Hoiydi, “Implementation options for the distribution system in the 802.11 Wireless LAN Infrastructure Network,” in2000 IEEE Interna- tional Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record, vol. 1. IEEE, 2000, pp. 164–169

  12. [12]

    Ieee 802.11s multihop mac: A tutorial,

    R. C. Carrano, L. C. Magalh ˜aes, D. C. M. Saade, and C. V . Albuquerque, “Ieee 802.11s multihop mac: A tutorial,”IEEE Communications Surveys & Tutorials, vol. 13, no. 1, pp. 52–67, 2010

  13. [13]

    IEEE 802.11s wireless mesh networks: Framework and challenges,

    X. Wang and A. O. Lim, “IEEE 802.11s wireless mesh networks: Framework and challenges,”Ad Hoc Networks, vol. 6, no. 6, pp. 970– 984, 2008

  14. [14]

    Channel load aware AP/Extender selection in Home WiFi networks using IEEE 802.11k/v,

    T. Adame, M. Carrascosa, B. Bellalta, I. Pretel, and I. Etxebarria, “Channel load aware AP/Extender selection in Home WiFi networks using IEEE 802.11k/v,”IEEE Access, vol. 9, pp. 30 095–30 112, 2021

  15. [15]

    Performance study of fast BSS transition using IEEE 802.11r,

    S. Bangolae, C. Bell, and E. Qi, “Performance study of fast BSS transition using IEEE 802.11r,” inProceedings of the 2006 international conference on Wireless communications and mobile computing, 2006, pp. 737–742

  16. [16]

    A CAPW AP-compliant so- lution for radio resource management in large-scale 802.11 WLAN,

    A. Levanti, F. Giordano, and I. Tinnirello, “A CAPW AP-compliant so- lution for radio resource management in large-scale 802.11 WLAN,” in IEEE GLOBECOM 2007-IEEE Global Telecommunications Conference. IEEE, 2007, pp. 3645–3650

  17. [17]

    RFC 5416: control and provisioning of wireless access points (CAPW AP) protocol binding for IEEE 802.11,

    P. Calhoun, M. Montemurro, and D. Stanley, “RFC 5416: control and provisioning of wireless access points (CAPW AP) protocol binding for IEEE 802.11,” 2009

  18. [18]

    Wi-Fi Industry Alliance Promoting Technologies and Products,

    G. Cheng, Z. Qian, Y . Jiang, Z. Yang, and T. Rajamanickam, “Wi-Fi Industry Alliance Promoting Technologies and Products,” inWi-Fi 7: Principles, Technology, and Applications. Springer, 2024, pp. 391– 403

  19. [19]

    Wi-Fi EasyMesh Specification v6.0,

    Wi-Fi Alliance, “Wi-Fi EasyMesh Specification v6.0,” https://www.wi- fi.org/file/wi-fi-easymesh-specification, 2024, accessed: 2025-11-19

  20. [20]

    Operating massive MIMO in unlicensed bands for enhanced coexistence and spatial reuse,

    G. Geraci, A. Garcia-Rodriguez, D. L ´opez-P´erez, A. Bonfante, L. Galati- Giordano, and H. Claussen, “Operating massive MIMO in unlicensed bands for enhanced coexistence and spatial reuse,”IEEE Journal on Selected Areas in Communications, vol. 35, no. 6, pp. 1282–1293, 2017

  21. [21]

    Garcia-Rodriguez, G

    A. Garcia-Rodriguez, G. Geraci, L. Galati-Giordano, A. Bonfante, M. Ding, and D. Lopez-Perez, “Massive MIMO unlicensed: A new ap- 19 Bits: 12 2 No. of supported joint sounding reports No. of supported sounding reports 2x LTF + 0.8 𝜇s GI Supported 1 Reserved (a) Bits: 6 2 ReservedMinimum Transmit Power (b) Octets: 11 2 or 4 Bandwidth Control 1 BSS Color In...

  22. [22]

    On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,

    T. Yoo and A. Goldsmith, “On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming,”IEEE Journal on selected areas in communications, vol. 24, no. 3, pp. 528–541, 2006

  23. [23]

    Revisiting multi-user downlink in IEEE 802.11ax: A designers guide to MU-MIMO,

    L. Cao, L. Zhang, S. Roy, and S. Jin, “Revisiting multi-user downlink in IEEE 802.11ax: A designers guide to MU-MIMO,”arXiv preprint arXiv:2406.05913, 2024

  24. [24]

    IEEE 802.11 be: Wi-Fi 7 strikes back,

    A. Garcia-Rodriguez, D. L ´opez-P´erez, L. Galati-Giordano, and G. Geraci, “IEEE 802.11 be: Wi-Fi 7 strikes back,”IEEE Communi- cations Magazine, vol. 59, no. 4, pp. 102–108, 2021

  25. [25]

    18: MAPC messages

    (2020) Performance of parameterized spatial reuse (PSR) with Octets: 1 1 1 variable Public ActionCategory Dialog Token MAPC Discovery Info (a) Octets: 1 1 1 variable Public ActionCategory Dialog Token MAPC Authentication (b) Octets: 1 1 1 variable Category MAPC Negotiation Info Dialog Token Public Action / Protected Dual Of Public Action (c) Octets: 1 1 1...

  26. [26]

    [Online]

    (2022) Performance of Coordinated Null Steering in 802.11be. [Online]. Available: https://mentor.ieee.org/802.11/dcn/19/11-19-1212- 02-00be-performance-of-coordinated-null-steering-in-802-11be.pptx

  27. [27]

    [Online]

    (2023) Nulling Performance of Coordinated Beamforming. [Online]. Available: https://mentor.ieee.org/802.11/dcn/23/11-23-1193-02-0uhr- nulling-performance-of-coordinated-beamforming.pptx

  28. [28]

    Improving Wi-Fi Cooperative Broadcast with Fine-Grained Channel Estimation,

    L. You, Y . Wang, S. Liu, Y . Tan, Z. Wang, and S. C. Liew, “Improving Wi-Fi Cooperative Broadcast with Fine-Grained Channel Estimation,” IEEE Transactions on Mobile Computing, 2025

  29. [29]

    Autoencoder-Based CSI Compression for Beyond Wi-Fi 8 Coordinated Beamforming

    I. Aboushehada, B. Bellalta, G. Geraci, and L. Galati-Giordano, “Autoencoder-Based CSI Compression for Beyond Wi-Fi 8 Coordinated Beamforming,”arXiv preprint arXiv:2604.13500, 2026

  30. [30]

    Spatial Reuse in IEEE 802.11 ax WLANs,

    F. Wilhelmi Roca, S. Barrachina-Mu ˜noz, C. Cano, I. Selinis, and B. Bellalta, “Spatial Reuse in IEEE 802.11 ax WLANs,”Computer Communications, vol. 170, pp. 65–83, 2021

  31. [31]

    Enhanced coordinated spatial reuse: bidirec- tional multiple AP coordination for IEEE 802.11 be,

    M. Talukder and J. Xie, “Enhanced coordinated spatial reuse: bidirec- tional multiple AP coordination for IEEE 802.11 be,” inICC 2023-IEEE International Conference on Communications. IEEE, 2023, pp. 660– 665

  32. [32]

    TXOP sharing with coordinated spatial reuse in multi-AP cooperative IEEE 802.11 be WLANs,

    D. Nunez, F. Wilhelmi, S. Avallone, M. Smith, and B. Bellalta, “TXOP sharing with coordinated spatial reuse in multi-AP cooperative IEEE 802.11 be WLANs,” in2022 IEEE 19th Annual Consumer Communi- cations & Networking Conference (CCNC). IEEE, 2022, pp. 864–870

  33. [33]

    Be- yond Wi-Fi 7: Spatial reuse through multi-AP coordination,

    P. Imputato, S. Avallone, M. Smith, D. Nunez, and B. Bellalta, “Be- yond Wi-Fi 7: Spatial reuse through multi-AP coordination,”Computer Networks, vol. 239, p. 110160, 2024

  34. [34]

    Throughput analysis of IEEE 802.11 bn coordinated 20 spatial reuse,

    F. Wilhelmi, L. Galati-Giordano, G. Geraci, B. Bellalta, G. Fontanesi, and D. Nu ˜nez, “Throughput analysis of IEEE 802.11 bn coordinated 20 spatial reuse,” in2023 IEEE Conference on Standards for Communica- tions and Networking (CSCN). IEEE, 2023, pp. 401–407

  35. [35]

    Spatial reuse in IEEE 802.11 bn coordinated multi-AP WLANs: A throughput analysis,

    D. Nunez, F. Wilhelmi, L. Galati-Giordano, G. Geraci, and B. Bellalta, “Spatial reuse in IEEE 802.11 bn coordinated multi-AP WLANs: A throughput analysis,” in2024 IEEE Conference on Standards for Communications and Networking (CSCN). IEEE, 2024, pp. 265–270

  36. [36]

    Coordinated Spatial Reuse with Shared AP Index Optimization for IEEE 802.11 be WLAN Enhance- ment,

    J. Jung, G. Lee, and J.-M. Chung, “Coordinated Spatial Reuse with Shared AP Index Optimization for IEEE 802.11 be WLAN Enhance- ment,”IEEE Transactions on Network Science and Engineering, 2025

  37. [37]

    Multi-AP Coordinated Spatial Reuse for Wi-Fi 8: Group Creation and Scheduling,

    D. Nunez, M. Smith, and B. Bellalta, “Multi-AP Coordinated Spatial Reuse for Wi-Fi 8: Group Creation and Scheduling,” in2023 21st Mediterranean Communication and Computer Networking Conference (MedComNet). IEEE, 2023, pp. 203–208

  38. [38]

    Coordinated multi-armed bandits for improved spatial reuse in Wi-Fi,

    F. Wilhelmi, B. Bellalta, S. Szott, K. Kosek-Szott, and S. Barrachina- Mu˜noz, “Coordinated multi-armed bandits for improved spatial reuse in Wi-Fi,” in2025 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN). IEEE, 2025, pp. 1–6

  39. [39]

    IEEE 802.11 bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits,

    M. Wojnaret al., “IEEE 802.11 bn Multi-AP Coordinated Spatial Reuse with Hierarchical Multi-Armed Bandits,”IEEE Communications Letters, 2024

  40. [40]

    Deep Reinforcement Learning-Based Scheduling for Wi- Fi Multi-Access Point Coordination,

    D. Nunez, F. Wilhelmi, M. Wojnar, K. Kosek-Szott, S. Szott, and B. Bellalta, “Deep Reinforcement Learning-Based Scheduling for Wi- Fi Multi-Access Point Coordination,”IEEE Transactions on Machine Learning in Communications and Networking, 2026

  41. [41]

    Performance Analysis of IEEE 802.11 bn with Coordinated TDMA on Real-Time Applications,

    S. Lee, C. Lee, S.-C. Noh, and J. Lee, “Performance Analysis of IEEE 802.11 bn with Coordinated TDMA on Real-Time Applications,”arXiv preprint arXiv:2508.18755, 2025

  42. [42]

    Coordinated TDMA MAC scheme design and performance evaluation for the next generation WLAN: IEEE 802.11 be,

    H. Cai, B. Li, M. Yang, and Z. Yan, “Coordinated TDMA MAC scheme design and performance evaluation for the next generation WLAN: IEEE 802.11 be,” inInternational Conference on Smart Grid and Internet of Things. Springer, 2020, pp. 297–306

  43. [43]

    Modeling and Optimization of Co-TDMA in Next-Generation Wi-Fi Systems Based on Optimal Transportation Theory,

    J. Zhang, W. Wu, X. Ge, and Y . Liu, “Modeling and Optimization of Co-TDMA in Next-Generation Wi-Fi Systems Based on Optimal Transportation Theory,”IEEE Open Journal of the Communications Society, 2025

  44. [44]

    Improving Wi-Fi 8 Latency with Coordinated Spatial Reuse,

    D. Nunez, F. Wilhelmi, L. Galati-Giordano, G. Geraci, and B. Bellalta, “Improving Wi-Fi 8 Latency with Coordinated Spatial Reuse,”IEEE Communications Standards Magazine, 2025

  45. [45]

    Access point coordination based TWT scheduling for the next generation WLAN,

    X. Peng, Y . Fang, C. Li, and L. Guo, “Access point coordination based TWT scheduling for the next generation WLAN,” in2024 13th International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2024, pp. 238–243

  46. [46]

    Target wake time: Scheduled access in IEEE 802.11 ax WLANs,

    M. Nurchis and B. Bellalta, “Target wake time: Scheduled access in IEEE 802.11 ax WLANs,”IEEE Wireless Communications, vol. 26, no. 2, pp. 142–150, 2019

  47. [47]

    R-TWT in Wi-Fi 7 and Beyond: Enabling Bounded Latency, Energy Efficiency, and Reliability,

    E. Mozaffariahrar, F. Wilhelmi, L. Galati-Giordano, P. Imputato, M. Menth, and S. Avallone, “R-TWT in Wi-Fi 7 and Beyond: Enabling Bounded Latency, Energy Efficiency, and Reliability,” in2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2025, pp. 1–8

  48. [48]

    Coordinated SR and restricted TWT for time sensitive applications in WiFi 7 networks,

    J. Haxhibeqiriet al., “Coordinated SR and restricted TWT for time sensitive applications in WiFi 7 networks,”IEEE Communications Magazine, vol. 62, no. 8, pp. 118–124, 2024

  49. [49]

    Dedicated Restricted Target Wake Time for Real-Time Applications in Wi-Fi 7,

    A. Belogaev, X. Shen, C. Pan, X. Jiang, C. Blondia, and J. Famaey, “Dedicated Restricted Target Wake Time for Real-Time Applications in Wi-Fi 7,” in2024 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2024, pp. 1–6

  50. [50]

    Performance Evaluation of Wi-Fi 7 Networks with Restricted Target Wake Time,

    D. Bankov, A. Lyakhov, E. Stepanova, and E. Khorov, “Performance Evaluation of Wi-Fi 7 Networks with Restricted Target Wake Time,” Problems of Information Transmission, vol. 60, no. 3, pp. 233–254, 2024

  51. [51]

    TCP Over Target Wakeup Time,

    V . Ramanna, A. Lee, and B. Dezfouli, “TCP Over Target Wakeup Time,” inICC 2025-IEEE International Conference on Communications. IEEE, 2025, pp. 4829–4835

  52. [52]

    TGax simulation scenarios,

    S. Merlin, G. Barriac, H. Sampath, L. Cariou, and T. Derham, “TGax simulation scenarios,”IEEE802, pp. 11–14, 2015

  53. [53]

    Kom8ndor: An IEEE 802.11bn Simulator,

    F. Wilhelmi and S. Barrachina-Mu ˜noz, “Kom8ndor: An IEEE 802.11bn Simulator,” https://github.com/wn-upf/Komondor/tree/dev, 2026

  54. [54]

    C. A. Balanis,Antenna theory: analysis and design. John wiley & sons, 2016

  55. [55]

    Cell-edge- aware precoding for downlink massive MIMO cellular networks,

    H. H. Yang, G. Geraci, T. Q. S. Quek, and J. G. Andrews, “Cell-edge- aware precoding for downlink massive MIMO cellular networks,”IEEE Transactions on Signal Processing, vol. 65, no. 13, pp. 3344–3358, 2017

  56. [56]

    Towards Wi-Fi 9: Vision, Requirements, and Candidate Technologies,

    A. Karamyshev, I. Levitsky, and E. Khorov, “Towards Wi-Fi 9: Vision, Requirements, and Candidate Technologies,”Problems of Information Transmission, vol. 61, no. 4, pp. 383–406, 2025

  57. [57]

    [Online]

    (2025) IEEE 802.11-25/0667r0, Further Considerations on Multi-AP Coordination. [Online]. Available: https://mentor.ieee.org/802.11/dcn/25/11-25-0667-00-00bn-further- considerations-on-multi-ap-coordination.pptx

  58. [58]

    Resource Unit Allocation in Coordinated OFDMA Multi-User Wi-Fi Systems,

    M. I. Parizi, M. R. Ghourtani, F. Scahill, and K. Cumanan, “Resource Unit Allocation in Coordinated OFDMA Multi-User Wi-Fi Systems,” IEEE wireless communications letters, 2025

  59. [59]

    [Online]

    (2025) IEEE 802.11-23/1981r4, Multi-Link based Multi-AP Coordination for Low-Latency Traffic – Follow Up. [Online]. Available: https://mentor.ieee.org/802.11/dcn/23/11-23-1981-04-00bn- multi-link-based-multi-ap-coordination-for-low-latency-traffic.pptx

  60. [60]

    Multi-AP Coordi- nation for MLO Scheduling in OBSS Environments,

    S. Kumar, E. Garcia-Villegas, and D. Camps-Mur, “Multi-AP Coordi- nation for MLO Scheduling in OBSS Environments,” in2025 IEEE 102nd Vehicular Technology Conference (VTC2025-Fall). IEEE, 2025, pp. 1–6

  61. [61]

    An overview of massive MIMO: Benefits and challenges,

    L. Lu, G. Y . Li, A. L. Swindlehurst, A. Ashikhmin, and R. Zhang, “An overview of massive MIMO: Benefits and challenges,”IEEE journal of selected topics in signal processing, vol. 8, no. 5, pp. 742–758, 2014

  62. [62]

    Coordinated multipoint joint transmission in heterogeneous networks,

    G. Nigam, P. Minero, and M. Haenggi, “Coordinated multipoint joint transmission in heterogeneous networks,”IEEE Transactions on Com- munications, vol. 62, no. 11, pp. 4134–4146, 2014

  63. [63]

    Multi-Link/Multi-AP Coordination Based Joint Transmission for Seamless Roaming in IEEE 802.11 bn (Wi-Fi 8),

    J. Kim and H. Park, “Multi-Link/Multi-AP Coordination Based Joint Transmission for Seamless Roaming in IEEE 802.11 bn (Wi-Fi 8),” inInternational Conference on Broadband and Wireless Computing, Communication and Applications. Springer, 2024, pp. 50–59

  64. [64]

    [Online]

    (2020) Coordinated OFDMA protocol. [Online]. Available: https://mentor.ieee.org/802.11/dcn/20/11-20-0277-01-00be- coordinated-ofdma-protocol.pptx

  65. [65]

    [Online]

    (2019) Simulation Results for coordinated OFDMA in multi-AP operation. [Online]. Available: https://mentor.ieee.org/802.11/dcn/19/11- 19-1592-00-00be-simulation-results-for-coordinated-ofdma-in-multi- ap-operation.pptx

  66. [66]

    Meeting latency constraints in wi-fi through coordinated OFDMA,

    P. Imputato and S. Avallone, “Meeting latency constraints in wi-fi through coordinated OFDMA,” in2024 22nd Mediterranean Commu- nication and Computer Networking Conference (MedComNet). IEEE, 2024, pp. 1–4

  67. [67]

    Multiple Access Point Coordinated Orthogonal Fre- quency Division Multiple Access Considering Channel Fairness of Non-Coordinated Nodes,

    M. Hinohara, H. Hashida, Y . Kawamoto, N. Kato, Y . Urabe, and H. Motozuka, “Multiple Access Point Coordinated Orthogonal Fre- quency Division Multiple Access Considering Channel Fairness of Non-Coordinated Nodes,” in2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024, pp. 1–5

  68. [68]

    Modelling and performance analysis of non-primary channel access in Wi-Fi networks,

    B. Bellalta, F. Wilhelmi, L. Galati-Giordano, and G. Geraci, “Modelling and performance analysis of non-primary channel access in Wi-Fi networks,”IEEE Open Journal of the Communications Society, 2025

  69. [69]

    Wi-Fi 8 Unveiled: Enhancing Spectrum Efficiency with Non-Primary Channel Access (NPCA),

    D. L ´opez-P´erez, A. Kijanka, I. Val, S. Schelstraete, and M. M. Vazquez, “Wi-Fi 8 Unveiled: Enhancing Spectrum Efficiency with Non-Primary Channel Access (NPCA),” inGLOBECOM 2025-2025 IEEE Global Communications Conference. IEEE, 2025, pp. 2976–2981

  70. [70]

    [Online]

    (2024) IEEE 802.11-24/1596r1, Consideration of MAP Coordination on NPCA channel. [Online]. Available: https://mentor.ieee.org/802.11/dcn/24/11-24-1596-01-00bn- consideration-of-map-coordination-on-npca-channel.pptx

  71. [71]

    [Online]

    (2025) IEEE 802.11-25/0445r1, Discussion on Coordinated NPCA Operation. [Online]. Available: https://mentor.ieee.org/802.11/dcn/25/ 11-25-0445-01-00bn-discussion-on-coordinated-npca-operation.pptx

  72. [72]

    [Online]

    (2024) IEEE 802.11-24/1838r1, Considerations on Coordinated NPCA. [Online]. Available: https://mentor.ieee.org/802.11/dcn/24/11-24-1838- 01-00bn-considerations-on-coordinated-npca.pptx

  73. [73]

    Centralized channel allocation algorithm for IEEE 802.11 networks,

    H. Balbiet al., “Centralized channel allocation algorithm for IEEE 802.11 networks,” in2012 Global Information Infrastructure and Net- working Symposium (GIIS). IEEE, 2012, pp. 1–7

  74. [74]

    A survey of energy efficient MAC protocols for IEEE 802.11 WLAN,

    S.-L. Tsao and C.-H. Huang, “A survey of energy efficient MAC protocols for IEEE 802.11 WLAN,”Computer Communications, vol. 34, no. 1, pp. 54–67, 2011

  75. [75]

    Energy-efficient base-stations sleep-mode techniques in green cellular networks: A sur- vey,

    J. Wu, Y . Zhang, M. Zukerman, and E. K.-N. Yung, “Energy-efficient base-stations sleep-mode techniques in green cellular networks: A sur- vey,”IEEE communications surveys & tutorials, vol. 17, no. 2, pp. 803– 826, 2015

  76. [76]

    Toward inte- grated sensing and communications in IEEE 802.11 bf Wi-Fi networks,

    F. Meneghello, C. Chen, C. Cordeiro, and F. Restuccia, “Toward inte- grated sensing and communications in IEEE 802.11 bf Wi-Fi networks,” IEEE Communications Magazine, vol. 61, no. 7, pp. 128–133, 2023

  77. [77]

    Coordinated power control for network integrated sensing and communication,

    Y . Huang, Y . Fang, X. Li, and J. Xu, “Coordinated power control for network integrated sensing and communication,”IEEE Transactions on Vehicular Technology, vol. 71, no. 12, pp. 13 361–13 365, 2022

  78. [78]

    IEEE 802.11 user fingerprinting and its applications for intrusion 21 detection,

    D. Takahashi, Y . Xiao, Y . Zhang, P. Chatzimisios, and H.-H. Chen, “IEEE 802.11 user fingerprinting and its applications for intrusion 21 detection,”Computers & Mathematics with Applications, vol. 60, no. 2, pp. 307–318, 2010

  79. [79]

    Im- proving 802.11 fingerprinting of similar devices by cooperative finger- printing,

    C. Maurice, S. Onno, C. Neumann, O. Heen, and A. Francillon, “Im- proving 802.11 fingerprinting of similar devices by cooperative finger- printing,” in2013 international conference on security and cryptography (SECRYPT). IEEE, 2013, pp. 1–8

  80. [80]

    Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks,

    F. Wilhelmi, S. Szott, K. Kosek-Szott, and B. Bellalta, “Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks,”IEEE Communications Magazine, 2024. Francesc Wilhelmi(Member, IEEE) holds a Ph.D. in information and communication technologies (2020) from the Universitat Pompeu Fabra (UPF). He also holds a B.Sc. degree in tel...