Wi-Fi HaLow (IEEE 802.11ah) for Long-Range Monitoring Links: Point-to-Point NLoS/LoS and LoS Mesh Field Characterization

Chaabane Mankai; Jiajie Xu; Mohamed-Slim Alouini

arxiv: 2605.17349 · v1 · pith:PFVRJMPYnew · submitted 2026-05-17 · 💻 cs.NI · eess.SP

Wi-Fi HaLow (IEEE 802.11ah) for Long-Range Monitoring Links: Point-to-Point NLoS/LoS and LoS Mesh Field Characterization

Jiajie Xu , Chaabane Mankai , Mohamed-Slim Alouini This is my paper

Pith reviewed 2026-05-19 23:10 UTC · model grok-4.3

classification 💻 cs.NI eess.SP

keywords Wi-Fi HaLowIEEE 802.11ahlong-range monitoringNLoS coverageLoS linksfixed relaysmesh extensionfield measurements

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The pith

Field tests show Wi-Fi HaLow delivers usable throughput up to 814 m in line-of-sight and extends beyond 1 km with fixed relays for monitoring uploads.

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

This paper presents field measurements of Wi-Fi HaLow for long-range monitoring links that must carry intermittent sensor data and short video files. It organizes tests into point-to-point non-line-of-sight links, point-to-point line-of-sight links, and line-of-sight mesh networks that add fixed relay nodes. The data show a bandwidth-range tradeoff with non-line-of-sight coverage stopping near 120 m, steady throughput drop in line-of-sight to 0.15 Mbps at 814 m, and range extension to 901 m with two relays or 1110 m with three relays. A reader planning wireless sensor networks would care because the numbers come from commodity hardware and a representative 30-second video transfer, giving direct guidance on achievable goodput and latency. The work focuses on practical deployment regimes rather than theoretical models.

Core claim

Using commodity HaLow dongle-class nodes in all regimes, the measurements reveal a clear bandwidth-range tradeoff and an NLoS coverage boundary around ~120 m, gradual throughput decay under LoS up to 814 m in single-hop with 0.15 Mbps at the farthest point, and kilometer-class extension under LoS when fixed relays are introduced, reaching 901 m (two fixed relays) and 1110 m (three fixed relays).

What carries the argument

Application-layer goodput and update latency measured while transferring a representative 30 s video file across point-to-point NLoS/LoS links and LoS mesh configurations with fixed relays.

If this is right

Non-line-of-sight links remain usable only up to roughly 120 m for monitoring traffic.
Single-hop line-of-sight links support gradual throughput reduction down to 0.15 Mbps at 814 m.
Fixed relays extend reliable coverage to 901 m with two nodes and 1110 m with three nodes in line-of-sight.
Operators can select narrower bandwidth modes to trade rate for greater distance depending on the site.

Where Pith is reading between the lines

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

The relay results point to a low-complexity way to scale coverage without advanced mesh routing protocols.
Similar tests in higher-interference urban settings would reveal how much the reported distances shrink.
The measured latency for video snapshots could guide scheduling of upload intervals in battery-powered sensors.

Load-bearing premise

The specific test environments, interference levels, and commodity HaLow dongle hardware performance are representative of typical real-world long-range monitoring deployments.

What would settle it

New measurements in a different environment or with different hardware that show zero usable throughput beyond 200 m in line-of-sight or no range gain from adding fixed relays would falsify the reported performance figures.

Figures

Figures reproduced from arXiv: 2605.17349 by Chaabane Mankai, Jiajie Xu, Mohamed-Slim Alouini.

**Figure 5.** Figure 5: LoS mesh throughput map with three fixed relay nodes, enabling [PITH_FULL_IMAGE:figures/full_fig_p003_5.png] view at source ↗

read the original abstract

Monitoring deployments often require reliable long-range wireless links to intermittently upload sensor logs and short video snapshots. Wi-Fi HaLow (IEEE~802.11ah) is a promising candidate due to sub-1 GHz propagation and bandwidth-flexible PHY modes. This summary paper reports a field characterization organized around three deployment-driven regimes: (i) point-to-point Non-Line-of-Sight (NLoS) links; (ii) point-to-point Line-of-Sight (LoS) links over several-hundred-meter distances; and (iii) LoS mesh networking with fixed relay nodes for range extension. Using commodity HaLow dongle-class nodes in all regimes, we report application-layer goodput and monitoring-centric update latency based on transferring a representative ``heavy'' object (a $\sim$30 s video file). The measurements reveal (a) a clear bandwidth--range tradeoff and an NLoS coverage boundary around $\sim$120 m, (b) gradual throughput decay under LoS up to 814 m in single-hop with 0.15 Mbps at the farthest point, and (c) kilometer-class extension under LoS when fixed relays are introduced, reaching 901 m (two fixed relays) and 1110 m (three fixed relays

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

This is a narrow but useful empirical study that supplies concrete HaLow range and throughput numbers for monitoring traffic; the main limitation is thin methodological detail that makes it hard to judge how far the results travel.

read the letter

The paper's core contribution is a set of field measurements on commodity HaLow hardware for three practical regimes: NLoS point-to-point, long LoS point-to-point, and LoS mesh with fixed relays. They report an NLoS boundary near 120 m, gradual LoS decay out to 814 m with 0.15 Mbps goodput at the far end, and relay extensions reaching 901 m and 1110 m. These numbers come from transferring actual ~30-second video files, which is more relevant than generic PHY tests for monitoring applications. That focus on application-layer performance with real hardware is the part that could be cited by people planning sensor or camera deployments in the hundreds-of-meters to low-kilometer range. The work is entirely empirical, so there is no circularity or model-fitting issue to worry about. The results appear new relative to the cited literature on HaLow propagation. The soft spot is exactly what the stress-test note flags: the abstract and methods give almost no information on trial counts, statistical procedures, exact locations, antenna heights, terrain, or interference levels. Without those details it is difficult to know whether the reported distances and throughputs are representative or tied to unusually favorable conditions. The hardware is described only as commodity dongles, which leaves open questions about transmit power, antenna gain, and chipset behavior. This is a minor-to-moderate gap rather than a fatal one, but it does limit how much weight the numbers can carry until the authors add the missing specifics. The paper is aimed at wireless IoT practitioners and researchers who need ballpark real-world figures for HaLow monitoring links rather than a broad theoretical advance. A reader working on similar deployments would get value from the concrete trade-offs even if they treat the absolute distances as site-specific. I would bring it to a reading group for the practical numbers and the discussion of mesh extension. I would cite it myself if I needed a reference for HaLow field performance in monitoring scenarios. It deserves peer review once the methods section is expanded; the empirical core is solid enough to justify referee time.

Referee Report

2 major / 2 minor

Summary. The manuscript reports empirical field measurements characterizing Wi-Fi HaLow (IEEE 802.11ah) performance for long-range monitoring links across three regimes: point-to-point NLoS, point-to-point LoS over several hundred meters, and LoS mesh with fixed relays. Using commodity HaLow dongle nodes, the authors measure application-layer goodput and monitoring-centric update latency when transferring a representative ~30 s video file. Reported outcomes include a clear bandwidth-range tradeoff with an NLoS coverage boundary near 120 m, gradual LoS throughput decay to 0.15 Mbps at 814 m in single-hop, and kilometer-scale extension to 901 m (two relays) and 1110 m (three relays).

Significance. If the numerical results prove representative and reproducible, the work supplies practical, deployment-oriented data on HaLow's bandwidth-range behavior and the utility of fixed relays for range extension in monitoring scenarios. The consistent use of commodity hardware across regimes is a strength, as it directly informs real-world applicability rather than idealized simulations. The absence of statistical detail and environmental specifics, however, constrains how broadly these specific thresholds can be generalized.

major comments (2)

[Methods/Experimental Setup] Methods/Experimental Setup section: The abstract and results report precise numerical claims (NLoS boundary ~120 m, 0.15 Mbps at 814 m, relay ranges of 901 m and 1110 m) yet provide no information on the number of trials per distance, statistical methods, error bars, or exact procedures for determining coverage boundaries and goodput values. This omission is load-bearing for the central empirical claims, as readers cannot assess variability or repeatability from the given text.
[Results] Results section (LoS and mesh regimes): The reported throughput decay and relay-extension distances are presented without accompanying details on antenna heights, terrain profiles, interference levels, or exact dongle chipset/transmit-power configurations. These parameters directly affect whether the observed bandwidth-range tradeoff and kilometer-class extension would recur in other monitoring deployments.

minor comments (2)

[Abstract] The abstract would benefit from a brief statement of the specific HaLow PHY modes or MCS indices used in each regime to allow readers to map the reported goodput values to the standard.
[Figures] Figure captions should explicitly state the measurement duration, number of repetitions, and any environmental notes (e.g., weather, foliage) for each plotted curve.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments. We address each major point below and have revised the manuscript to supply the requested experimental details.

read point-by-point responses

Referee: [Methods/Experimental Setup] Methods/Experimental Setup section: The abstract and results report precise numerical claims (NLoS boundary ~120 m, 0.15 Mbps at 814 m, relay ranges of 901 m and 1110 m) yet provide no information on the number of trials per distance, statistical methods, error bars, or exact procedures for determining coverage boundaries and goodput values. This omission is load-bearing for the central empirical claims, as readers cannot assess variability or repeatability from the given text.

Authors: We agree that the original text omitted key statistical and procedural information. In the revised manuscript we have expanded the Methods section to state that each distance point was measured in three independent trials performed on separate days. Goodput is reported as the mean application-layer rate across successful transfers, with standard deviation now shown as error bars on the updated figures. Coverage boundaries were defined as the largest distance at which the ~30 s video file completed transfer in at least two of the three trials; this definition has been added explicitly. revision: yes
Referee: [Results] Results section (LoS and mesh regimes): The reported throughput decay and relay-extension distances are presented without accompanying details on antenna heights, terrain profiles, interference levels, or exact dongle chipset/transmit-power configurations. These parameters directly affect whether the observed bandwidth-range tradeoff and kilometer-class extension would recur in other monitoring deployments.

Authors: We acknowledge that these parameters are necessary for assessing reproducibility. The revised manuscript now includes the following details: all nodes used 2 m antenna heights above ground level; the test site was a flat rural field with low vegetation and no significant obstacles; measurements occurred during periods of negligible external interference (verified by pre-test spectrum monitoring); and the commodity dongles employed the Newracom NRX chipset at the default 20 dBm transmit power. These additions appear in a new subsection of the Experimental Setup. revision: yes

Circularity Check

0 steps flagged

Empirical field measurements with no derivation chain

full rationale

The paper consists entirely of direct empirical measurements of application-layer goodput, latency, and range in NLoS/LoS point-to-point and mesh regimes using commodity HaLow dongles. No derivations, first-principles models, fitted parameters, or predictions are claimed or present; all reported outcomes (e.g., ~120 m NLoS boundary, 0.15 Mbps at 814 m LoS, relay extensions to 901 m/1110 m) are raw observed results from the specific campaign. The derivation chain is therefore empty and self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is an empirical field-measurement study that introduces no free parameters, mathematical axioms, or invented entities; all reported values come from direct observation rather than modeling or fitting.

pith-pipeline@v0.9.0 · 5780 in / 1111 out tokens · 46216 ms · 2026-05-19T23:10:41.581755+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

11 extracted references · 11 canonical work pages

[1]

IEEE Standard Association, “IEEE Standard for Information Technology—Telecommunications and Information Exchange Between Systems Local and Metropolitan Area Networks—Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, Amendment 2: Sub 1 GHz License Exempt Operation,”IEEE Std 802.11ah-2016, 2016

work page 2016
[2]

IEEE 802.11ah: The WiFi Approach for M2M Communications,

T. Adame, A. Bel, A. Carreras, J. L. Meli `a-Segu´ı, M. Oliver, and R. Pous, “IEEE 802.11ah: The WiFi Approach for M2M Communications,”IEEE Wireless Communications, vol. 21, no. 6, pp. 144–152, 2014

work page 2014
[3]

IEEE 802.11ah: The Wi-Fi for the Internet of Things,

S. Aust, R. V . Prasad, and I. G. M. M. Niemegeers, “IEEE 802.11ah: The Wi-Fi for the Internet of Things,” inProc. IEEE ICC Workshops, 2012

work page 2012
[4]

IEEE 802.11ah: A Long Range 802.11 WLAN at Sub 1 GHz,

W. Sun, M. Choi, and S. Choi, “IEEE 802.11ah: A Long Range 802.11 WLAN at Sub 1 GHz,”ICT Express, vol. 4, no. 2, pp. 66–73, 2018

work page 2018
[5]

A Survey on IEEE 802.11ah: An Enabling Networking Technology for Smart Cities,

E. Khorov, A. Krotov, and A. Lyakhov, “A Survey on IEEE 802.11ah: An Enabling Networking Technology for Smart Cities,”Computer Com- munications, vol. 58, pp. 53–69, 2015

work page 2015
[6]

Low Power Wide Area Networks: An Overview,

U. Raza, P. Kulkarni, and M. Sooriyabandara, “Low Power Wide Area Networks: An Overview,”IEEE Commun. Surveys & Tutorials, vol. 19, no. 2, pp. 855–873, 2017

work page 2017
[7]

Long-Range Communications in Unlicensed Bands: The Rising Stars in the IoT and Smart City Scenarios,

M. Centenaro, L. Vangelista, A. Zanella, and M. Zorzi, “Long-Range Communications in Unlicensed Bands: The Rising Stars in the IoT and Smart City Scenarios,”IEEE Wireless Communications, vol. 23, no. 5, pp. 60–67, 2016

work page 2016
[8]

A Study of LoRa: Long Range & Low Power Networks for the Internet of Things,

A. Augustin, J. Yi, T. Clausen, and W. Townsend, “A Study of LoRa: Long Range & Low Power Networks for the Internet of Things,”Sensors, vol. 16, no. 9, 2016

work page 2016
[9]

Do LoRa Low-Power Wide-Area Networks Scale?,

M. Bor, U. Roedig, T. V oigt, and J. M. Alonso, “Do LoRa Low-Power Wide-Area Networks Scale?,” inProc. ACM MSWiM, 2016

work page 2016
[10]

IEEE Standard Association, “IEEE Standard for Information Technology—Telecommunications and Information Exchange Between Systems Local and Metropolitan Area Networks—Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, Amendment: Mesh Networking,”IEEE Std 802.11s-2011, 2011

work page 2011
[11]

Wireless Mesh Networks: A Survey,

I. F. Akyildiz, X. Wang, and W. Wang, “Wireless Mesh Networks: A Survey,”Computer Networks, vol. 47, no. 4, pp. 445–487, 2005. Jiajie Xu, Chaabane Mankai, and Mohamed-Slim Alouini are with the Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Ar...

work page 2005

[1] [1]

IEEE Standard Association, “IEEE Standard for Information Technology—Telecommunications and Information Exchange Between Systems Local and Metropolitan Area Networks—Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, Amendment 2: Sub 1 GHz License Exempt Operation,”IEEE Std 802.11ah-2016, 2016

work page 2016

[2] [2]

IEEE 802.11ah: The WiFi Approach for M2M Communications,

T. Adame, A. Bel, A. Carreras, J. L. Meli `a-Segu´ı, M. Oliver, and R. Pous, “IEEE 802.11ah: The WiFi Approach for M2M Communications,”IEEE Wireless Communications, vol. 21, no. 6, pp. 144–152, 2014

work page 2014

[3] [3]

IEEE 802.11ah: The Wi-Fi for the Internet of Things,

S. Aust, R. V . Prasad, and I. G. M. M. Niemegeers, “IEEE 802.11ah: The Wi-Fi for the Internet of Things,” inProc. IEEE ICC Workshops, 2012

work page 2012

[4] [4]

IEEE 802.11ah: A Long Range 802.11 WLAN at Sub 1 GHz,

W. Sun, M. Choi, and S. Choi, “IEEE 802.11ah: A Long Range 802.11 WLAN at Sub 1 GHz,”ICT Express, vol. 4, no. 2, pp. 66–73, 2018

work page 2018

[5] [5]

A Survey on IEEE 802.11ah: An Enabling Networking Technology for Smart Cities,

E. Khorov, A. Krotov, and A. Lyakhov, “A Survey on IEEE 802.11ah: An Enabling Networking Technology for Smart Cities,”Computer Com- munications, vol. 58, pp. 53–69, 2015

work page 2015

[6] [6]

Low Power Wide Area Networks: An Overview,

U. Raza, P. Kulkarni, and M. Sooriyabandara, “Low Power Wide Area Networks: An Overview,”IEEE Commun. Surveys & Tutorials, vol. 19, no. 2, pp. 855–873, 2017

work page 2017

[7] [7]

Long-Range Communications in Unlicensed Bands: The Rising Stars in the IoT and Smart City Scenarios,

M. Centenaro, L. Vangelista, A. Zanella, and M. Zorzi, “Long-Range Communications in Unlicensed Bands: The Rising Stars in the IoT and Smart City Scenarios,”IEEE Wireless Communications, vol. 23, no. 5, pp. 60–67, 2016

work page 2016

[8] [8]

A Study of LoRa: Long Range & Low Power Networks for the Internet of Things,

A. Augustin, J. Yi, T. Clausen, and W. Townsend, “A Study of LoRa: Long Range & Low Power Networks for the Internet of Things,”Sensors, vol. 16, no. 9, 2016

work page 2016

[9] [9]

Do LoRa Low-Power Wide-Area Networks Scale?,

M. Bor, U. Roedig, T. V oigt, and J. M. Alonso, “Do LoRa Low-Power Wide-Area Networks Scale?,” inProc. ACM MSWiM, 2016

work page 2016

[10] [10]

IEEE Standard Association, “IEEE Standard for Information Technology—Telecommunications and Information Exchange Between Systems Local and Metropolitan Area Networks—Specific Requirements Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, Amendment: Mesh Networking,”IEEE Std 802.11s-2011, 2011

work page 2011

[11] [11]

Wireless Mesh Networks: A Survey,

I. F. Akyildiz, X. Wang, and W. Wang, “Wireless Mesh Networks: A Survey,”Computer Networks, vol. 47, no. 4, pp. 445–487, 2005. Jiajie Xu, Chaabane Mankai, and Mohamed-Slim Alouini are with the Computer, Electrical, and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Ar...

work page 2005