Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research

Jonathan Segev; Katarzyna Kosek-Szott; Krzysztof Rusek; Maksymilian Wojnar; Szymon Szott; Wojciech Ciezobka

REVIEW 3 major objections 6 minor 251 references

Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research

T0 review · 3 major / 6 minor · reviewed 2026-08-05 · deepseek-v4-flash

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Pith's one-line read Wi-Fi FTM research, classified: 180+ papers mapped across five areas

desk verdict Useful, well-organized FTM survey with a real coverage gap, but its Section 10 statistics rest on an undocumented corpus selection and should be treated as impressions until the authors add methodology. read the letter →

arxiv 2509.03901 v1 pith:OVTFREVX submitted 2025-09-04 cs.NI

Katarzyna Kosek-Szott , Szymon Szott , Wojciech Ciezobka , Maksymilian Wojnar , Krzysztof Rusek , Jonathan Segev This is my paper · ORCID

classification cs.NI

keywords finetimingmeasurementFTMIEEE802.11mc802.11az802.11bkindoorpositioningWi-FiLocationround-triptime

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

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

The reading

This paper argues that IEEE 802.11 fine timing measurement (FTM), commercially known as Wi-Fi Location, has become a serious contender for indoor positioning, and that the research around it has matured enough to be organized, compared, and assessed. The authors fill what they identify as a gap: no existing survey concentrates on FTM while also covering its 802.11az and 802.11bk successors. By classifying over 180 papers into five research areas plus security and standardization, and by adding statistical analysis and a list of open problems, the survey aims to be the reference guide for anyone working on FTM-based positioning. A careful reader would care because the survey's conclusions—that FTM needs calibration, that NLOS and dense scenarios are under-addressed, and that security is a live concern—directly shape where future research effort and standardization should go.

What carries the argument

The central object is the FTM protocol itself: a point-to-point, time-based ranging procedure in which a responding station and an initiating station exchange a burst of frames, yielding four locally measured timestamps (t1, t2, t3, t4) per exchange. The round-trip time is computed as RTT = (t4 - t1) - (t3 - t2), and distance follows from half the RTT times the speed of light. This timestamp arithmetic, together with trilateration against multiple access points, is the mechanism that all surveyed improvement and fusion techniques build on. The survey's own organizing machinery is its five-category classification of the literature—practical accuracy, accuracy improvement, fusion with other sy

What would settle it

Run a systematic literature search for FTM-related papers using explicit databases, query terms, and inclusion criteria, then code each paper with two independent reviewers. If the resulting distribution differs materially from the survey's percentages (for example, if the share of papers addressing dense multi-device scenarios is well above 7%, or if a large number of FTM papers outside the survey's five categories surface), the survey's statistical claims and its 'open areas' ranking would not survive replication.

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Extended reading notes

Core claim

The paper's central claim is that the FTM research landscape can be comprehensively mapped and that doing so reveals a clear picture of the field's achievements and gaps. The authors report that most FTM research (about 78%) targets localization rather than mere ranging, that about 93% of studies consider only single-device scenarios, and that roughly 89% of works are validated by real trials rather than simulation. They also find that FTM outperforms RSS-based positioning indoors, that its accuracy depends heavily on per-device and per-environment calibration, that machine learning and data fusion with inertial sensors or other radio technologies consistently improve accuracy, and that 802.

Load-bearing premise

That the roughly 180 papers chosen for review fairly represent all FTM research and that the authors' manual sorting of each paper into categories is correct—the survey describes no search protocol, inclusion criteria, or inter-rater procedure, so the reported percentages could reflect the authors' reading of the field rather than an unbiased census.

Editorial extensions

If this is right

If the survey's classification is accurate, researchers gain a single reference for what has been tried in FTM positioning, what accuracy numbers are realistic, and which methods (Kalman filters, neural networks, RSS fusion, passive ranging) have reproducible support.
The 93% single-device statistic, if representative, implies that dense multiuser FTM scenarios are the field's most under-explored area, and that IEEE 802.11az's multi-station ranging modes deserve early experimental attention.
The survey's security findings imply that current FTM deployments should not be used for safety-critical or privacy-sensitive localization without the protections (protected LTFs, encrypted frames, passive ranging) introduced in 802.11az.
The identification of only a handful of public FTM datasets implies that benchmarking new algorithms remains difficult, so dataset creation is a prerequisite for progress.
The open research areas listed—puncturing, narrowband operation, residual frequency offset, multi-way ranging—define concrete agendas that can be pursued with existing or near-future hardware.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

The paper's own statistics suggest that the biggest bottleneck for FTM is not ranging accuracy in ideal conditions but scalability and robustness: if 93% of studies test one device at a time, the reported accuracy numbers may not transfer to crowded indoor environments, and the survey's 'open areas' list is effectively a ranking of that untested space.
A testable extension would be to run a systematic replication of the survey with an explicit search and inclusion protocol (databases, query terms, date range, inter-rater coding) to see whether the reported percentages—93% single-device, 78% localization, 55% LOS-only—hold or drift with the paper-selection criteria.
The survey's stress on 802.11az/bk as the accuracy future (<1 m and <0.1 m respectively) implies that much of the current literature will become obsolete once those amendments' devices ship; the authors implicitly predict a new wave of measurement studies, which could be checked by repeating the survey in two to three years.

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Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

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

Desk Editor's Note

read the letter

You should know this up front: the survey is genuinely useful and broader than the only competing FTM survey [213], but the quantitative claims in Section 10 are not backed by a transparent paper-selection process. That is the one soft spot that matters, and it is fixable.

What is new and good: the authors review around 180 FTM-related papers and organize them into five research areas, with tables that actually help. They go beyond 802.11mc to cover 802.11az and 802.11bk, which the other FTM survey does not. The security section is a real addition, and the dataset and simulation-tool pointers are a practical service. The tutorial on FTM operation is standard but clear, and the classification of ML vs. statistical modeling is a fair way to structure the field. The paper ships no new measurements or code, but as a survey its job is to organize and orient, and it does that.

Where it gets soft: Section 10 reports percentages like “about 93% focus on single device scenarios” and “78% focus on localization,” but there is no described search protocol, no database list, no inclusion/exclusion criteria, and no inter-rater procedure. The corpus even includes pre-FTM RTT/ToA work, so the denominator for “FTM-related papers” is fuzzy. Those percentages and the “open areas” derived from them could reflect the authors’ selection rather than the field. The claim that 39% of the surveyed papers have not appeared in any other survey is unverifiable from the text without per-paper overlap data. This is not a fatal flaw for the survey’s reference value, but it does mean the statistical conclusions should be read as qualitative impressions unless the authors add a methodology section or soften the wording.

Minor points: the self-citations to [38,39] are fine because they are used as application examples, and the dense tables are acceptable for this genre. The coverage is honest about the lack of 802.11az/bk evaluations and the scarcity of public datasets.

Net: I would send this to peer review. The survey deserves referee time and will likely become a starting point for new researchers in Wi-Fi positioning, but Section 10 needs either a rigorous selection protocol or a clear downgrade to “patterns we noticed in our reading.” Recommend conditional accept with that revision.

Referee Report

3 major / 6 minor

Summary. This paper presents a literature survey of IEEE 802.11 fine timing measurement (FTM) research, covering the 802.11mc protocol as well as its 802.11az and 802.11bk successors. The authors give a tutorial on FTM operation, classify roughly 180 papers into five research areas (practical accuracy, accuracy improvement, data fusion, applications, and security), summarize available datasets and simulation tools, and provide a statistical analysis of the surveyed literature in Section 10. They claim to fill a gap by offering a dedicated FTM-oriented survey that includes security and the recent 802.11 amendments, and they derive a set of open research areas from the review.

Significance. If the corpus and its classification are reliable, the survey would be a genuinely useful reference guide for researchers and practitioners working on Wi-Fi positioning. The paper's strengths are its broad tabular coverage of the literature, its inclusion of FTM security issues and the 802.11az/bk evolution, its compilation of public datasets and tools, and its tutorial value for readers new to FTM. The statistical synthesis, however, is only as good as the undocumented selection of papers and labels on which it rests. The paper does not provide a search protocol, inclusion/exclusion criteria, or inter-rater procedure, so the percentages in Section 10 and the 'open areas' derived from them are currently conditional on the authors' own corpus. This is a fixable but load-bearing weakness rather than a fatal one.

major comments (3)

[§10 and §1.1] The quantitative conclusions (about 93% single-device, 78% localization, 89% experiments vs. 11% simulations, 55%/18%/27% LOS/NLOS/mix, 58.4% ML/SM) are load-bearing for the open-research-area recommendations in §11, but the corpus is not reproducible. No database, query, inclusion/exclusion criteria, screening procedure, or inter-rater protocol is described. The denominator is also fuzzy: §3 explicitly includes pre-FTM RTT/ToA works ([70], [67], [40], [122], [84], [41], [135], [10], [42], [111], [12], [131]), while §1.1 says the survey covers papers 'directly related to FTM.' If pre-FTM papers are in the denominator, the FTM-specific percentages are diluted; if not, the selection rule should explain how they were handled. Please add a methodology appendix defining the corpus, per-paper coding rules, and ideally a supplementary label table, and recompute the statistics on that defined un
[§10, 'real trials vs. simulation' bullet] The statement that 'about 89% of papers include results from real trials while the remaining 11% include simulation results' treats the categories as mutually exclusive and summing to 100%, but the tables repeatedly record papers as using both. For example, Table 5 lists [231] with Method 'S, E', Table 7 lists [53] with Method 'Both S, E', and Table 9 lists [20] with Method 'Both E'. Unless a primary-method rule is defined, 89% and 11% cannot be interpreted without an overlap term. The same concern applies to any other percentage (ML vs. SM, LOS vs. NLOS vs. mix) if the underlying categories are not disjoint.
[§1.2, '39% not described in any other survey'] The novelty claim that '39% have not been described in any other survey' (and 48% in the last four years) is unverifiable from the manuscript. Table 1 lists 27 overlapping surveys (while the text says 'about 30'), but no per-paper comparison is shown. A reader cannot check which of the ~180 reviewed papers were covered by which prior survey. This claim should either be removed or supported by a supplementary table giving the overlap of each reviewed paper with each listed survey; otherwise it is not a reproducible contribution claim.

minor comments (6)

[§2, Eq. (3)] The trilateration equation contains a sign error: it should read (x0 - xi)^2 + (y0 - yi)^2 = (ToF_i * c)^2, not with a minus sign. This is a tutorial section, so the typo is likely to mislead readers.
[§12 vs. §1.1, §8, Fig. 1] The conclusions say 802.11bk is 'already in development,' while the abstract, §1.1, §8, and Fig. 1 describe it as recently completed/2025. Please harmonize the status of the amendment throughout.
[Table 1] The text says the overlapping papers are spread over 'about 30 different literature reviews,' but Table 1 lists 27 entries. Either add the missing surveys or soften the count to match the table.
[Tables 8, 9, and 11] The column labeled 'Dense' is used in the statistical analysis of single-device vs. dense scenarios but is never defined in the table captions. Since §10's 93% claim depends on this classification, the meaning of 'Dense' should be stated explicitly.
[§4.1.1] The sentence 'If a single measurement requires 30 ms, an AP can only manage 30 stations per second' is arithmetically imprecise (1000/30 is about 33). The claim should be reworded or the numbers corrected.
[Fig. 1 caption] The caption 'Cumulative number of FTM-related research papers as covered herein as well those surveyed so far' contains a grammatical error ('as well those'); it should be 'as well as those.'

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the survey's classifications and statistical summaries are descriptive and do not reduce by construction to fitted inputs or self-citations.

full rationale

This is a literature survey, not a derivation or prediction pipeline. The core contribution is a classification of ~180 papers into five research areas (Sections 3–8) and a statistical summary (Section 10). The percentages in Section 10 (e.g., 'about 93% focus on single device scenarios', 'about 78% of the research focuses on localization') are descriptive counts over the authors' selected corpus; they are not outputs of a model fitted to a subset of the same data. There is no equation in the paper whose result is prescribed by its construction, and no parameter is fitted and then renamed as a prediction. The paper does cite works by its own authors: [38,39] in Section 6 for FTM-based rate selection and [177] in the introduction/Table 13 for 802.11bk accuracy projections. These citations are not load-bearing for the survey's central classification, and the claims they support are standard/technical facts rather than derived conclusions. The absence of an explicit search protocol and inter-rater procedure is a reproducibility/representativeness limitation of the corpus, but it is not a circularity: the quantitative statements are transparently about 'the surveyed papers', not about an independently defined population that was then used to justify the same selection. No circular step satisfying the quoted-reduction test can be exhibited, so the appropriate finding is no significant circularity (score 0).

Assumptions & free parameters 0 free parameters · 2 assumptions · 0 invented entities

No free parameters or new entities. The survey depends on trusting the cited literature and on a reasonably unbiased paper selection.

assumptions (2)

domain assumption The surveyed papers accurately report their methods and results.
The survey's summaries of each paper's contribution and accuracy are taken at face value; no independent replication is done.
domain assumption The selected set of papers is representative of FTM-related research.
Section 10 draws conclusions about the field's trends from the reviewed set, but the selection process is not detailed.

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Cite this review

Pith. "Pith review of Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research." pith.science (2026). https://pith.science/paper/OVTFREVX

@misc{pith2026250903901,
  author       = {Pith},
  title        = {Pith review of: Indoor Positioning with Wi-Fi Location: A Survey of IEEE 802.11mc/az/bk Fine Timing Measurement Research},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/OVTFREVX}},
  note         = {Machine review of arXiv:2509.03901}
}

read the original abstract

Indoor positioning is an enabling technology for home, office, and industrial network users because it provides numerous information and communication technology (ICT) and Internet of things (IoT) functionalities such as indoor navigation, smart meter localization, asset tracking, support for emergency services, and detection of hazardous situations. The IEEE 802.11mc fine timing measurement (FTM) protocol (commercially known as Wi-Fi Location) has great potential to enable indoor positioning in future generation devices, primarily because of the high availability of Wi-Fi networks, FTM's high accuracy and device support. Furthermore, new FTM enhancements are available in the released (802.11az) and recently completed (802.11bk) amendments. Despite the multitude of literature reviews on indoor positioning, a survey dedicated to FTM and its recent enhancements has so far been lacking. We fill this gap by classifying and reviewing over 180 research papers related to the practical accuracy achieved with FTM, methods for improving its accuracy (also with machine learning), combining FTM with other indoor positioning systems, FTM-based applications, and security issues. Based on the conducted survey, we summarize the most important research achievements and formulate open areas for further research.

Figures

Figures reproduced from arXiv: 2509.03901 by the authors.

**Figure 2.** Comparison of localization technologies (when used for indoor navigation). Note that GPS can operate under the noise floor but requires longer integration. [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗

**Figure 3.** Survey organization. 4 [PITH_FULL_IMAGE:figures/full_fig_p004_3.png] view at source ↗

Figures from the paper (11 more)

**Figure 4.** Figure 4: FTM operation for two FTM exchanges per burst [96]. [PITH_FULL_IMAGE:figures/full_fig_p005_4.png]

**Figure 5.** Figure 5: FTM-based localization: (a) trilateration, (b) classification steps to improve accuracy. [PITH_FULL_IMAGE:figures/full_fig_p006_5.png]

**Figure 6.** Figure 6: Exemplary broadcasting network for passive ToA and ToD measure [PITH_FULL_IMAGE:figures/full_fig_p008_6.png]

**Figure 7.** Figure 7: Localization examples: (a) FTM with GNSS [61], (b) FTM data fusion with RSS measurements [71]. [PITH_FULL_IMAGE:figures/full_fig_p013_7.png]

**Figure 8.** Figure 8: Exemplary FTM applications. ing alternative methods (such as fingerprinting or measurements from other network technologies) can further improve accuracy but usually has an up-front cost, making these approaches less promising for widespread adoption. 6. FTM for Buildi…

**Figure 9.** Figure 9: Frame exchange in 802.11az ranging [97]: (a) trigger-based, (b) non-trigger-based. ISTA – initiating station, RSTA –responding station, LMR – location [PITH_FULL_IMAGE:figures/full_fig_p016_9.png]

**Figure 12.** Figure 12: Time advance attack [211, 97] to place the station on a curve of equal time difference. The interception of multiple such curves provides the location of the attacked station. In the spoofing attack, an active attacker either imitates an AP and responds with false FTM…

**Figure 11.** Figure 11: Trigger-based bidirectional location measurement for [PITH_FULL_IMAGE:figures/full_fig_p016_11.png]

**Figure 13.** Figure 13: FTM research areas by number of related papers. [PITH_FULL_IMAGE:figures/full_fig_p017_13.png]

**Figure 14.** Figure 14: Configurations of FTM experiments. Regarding the experiments conducted within the surveyed research papers, we notice the following breakdown of configurations ( [PITH_FULL_IMAGE:figures/full_fig_p018_14.png]

**Figure 15.** Figure 15: Most common FTM vendors used in experimental studies. [PITH_FULL_IMAGE:figures/full_fig_p019_15.png]

Discussion (0). Continue with ORCID to comment.

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