Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions

Changyuan Zhao; Dong In Kim; Dusit Niyato; Geng Sun; Jiacheng Wang; Jiahui Li; Jing Wu; Minghao Yin; Pengfei Wang; Shuang Liang

REVIEW 3 major objections 4 minor 7 cited by

Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions

T0 review · 3 major / 4 minor · reviewed 2026-08-16 · deepseek-v4-flash

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Pith's one-line read This survey argues that efficient low-altitude economy networks depend on the deep integration of communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management.

desk verdict A useful but uneven survey of low-altitude economy networks; the multi-technology-integration thesis holds up, but the 500–3000 m airspace definition and a Table IV citation mix-up need fixing before it can be a reliable reference. read the letter →

arxiv 2504.21583 v1 pith:7AP6MJKY submitted 2025-04-30 cs.NI

Yixian Wang , Geng Sun , Zemin Sun , Jiacheng Wang , Jiahui Li , Changyuan Zhao , Jing Wu , Shuang Liang

show 5 more authors

Minghao Yin Pengfei Wang Dusit Niyato Sumei Sun Dong In Kim

This is my paper · ORCID

classification cs.NI

keywords low-altitudeeconomyUAVnetworkseVTOLmulti-technologyintegrationairspacemanagementintegratedsensingandcommunicationgenerativeAILEOsatellites

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 survey claims that efficient low-altitude economy networks—those coordinating hundreds to thousands of drones and eVTOL aircraft—cannot be realized by stacking independent technologies. Instead, communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management must be deeply integrated into one system. The paper organizes this argument through a three-layer network architecture and three technology-integration clusters, and grounds it in existing low-altitude airspace standards and application scenarios like logistics, rescue, and air taxi. A sympathetic reader would care because the integration thesis determines where standards, research, and design effort should be concentrated.

What carries the argument

The load-bearing organizing device is the three-layer LAE network architecture combined with three technology-integration clusters. The architecture layers are (1) airborne terminals and physical infrastructure, (2) intelligent collaboration and digital airspace, and (3) multi-collaboration and service assurance; the integration clusters are communication-sensing-computing, positioning-navigation-surveillance, and flight control-airspace management. Every technology in the survey is mapped to a layer and cluster, and the argument is that only by fusing these do the applications and future directions (generative AI, security, energy relay, quantum coordination, governance, and 3D coverage) become feasible.

What would settle it

A field trial where hundreds of UAVs operate in the 500–3000 m band using separately optimized, non-integrated subsystems would falsify the necessity claim if it matched the integrated system's throughput, latency, and safety; more narrowly, showing that the 1939.1-2021 grid-routing method fails to keep links stable beyond a few hundred nodes would falsify the scalability premise.

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Extended reading notes

Core claim

On the paper's own terms, the central discovery is a roadmap: low-altitude economy networks differ from traditional UAV networks in scale, coordination demands, and security exposure, so they require a layered architecture (airborne terminal and physical infrastructure, intelligent collaboration and digital airspace, multi-collaboration and service assurance) plus the synergy of technologies grouped as communication-sensing-computing, positioning-navigation-surveillance, and flight control-airspace management. The paper shows how the standards 1939.1-2021, 1937.8-2024, the P1954 draft, and 1937.3-2024 support massive connectivity, seamless coordination, collaborative autonomy, and reliable operations within that architecture. It then illustrates the integrated stack in logistics, rescue, and transportation, and argues that this synergy—not any single technology—is what improves operational efficiency, optimizes airspace usage, and ensures safety.

Load-bearing premise

The paper assumes that low-altitude airspace spans 500 to 3000 meters above ground and that the cited standards, including the draft P1954, are valid foundations; if either is wrong, the proposed architecture and challenge analysis would be mis-scoped.

Editorial extensions

If this is right

If the integration thesis is right, isolated optimization of individual links or control loops will hit a ceiling, and system design must co-design communication, sensing, computing, and control from the start.
The standards cited in the paper become the concrete scaffolding for large-scale LAE deployment, so their adoption and extension is a near-term actionable step.
Applications such as last-mile delivery, disaster rescue, and urban air mobility all rely on the same integrated stack, meaning application research should be coupled with network-level integration rather than treated separately.
The future directions the paper lists—adaptive optimization, security and privacy, sustainable energy, quantum-driven coordination, generative governance, and LAE-LEO 3D coverage—are all extensions of the core integration claim.

Reading between the lines

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

If integration is the bottleneck, then comparative testbeds that run deliberately separated subsystems against an integrated one would quantify the claimed advantage; the paper itself proposes no such metric.
The 500–3000 m airspace definition is a regulatory choice; the same architecture might generalize to other altitude bands, but the paper does not argue for that generalization.
The emphasis on standards suggests the first practical milestone for LAE networks is interoperability across standards-compliant devices, not a single algorithmic breakthrough.
The architecture could plausibly be extended to treat ground vehicles and pedestrians as passive sensing nodes, since the paper already relies on non-collaborative passive sensing, though it leaves that connection implicit.

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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

Let me give you the short version: this is a competent survey of LAE networks, worth sending to a referee, but it is not ready as-is. The central claim — that efficient LAE networks need deep integration of comms, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management — is defensible, and the paper marshals a lot of recent literature to support it. The three-layer architecture is a reasonable organizing scheme.

What it does well: it collects recent IEEE standards and connects them to network requirements; the application walk-throughs for logistics, rescue, and transportation are concrete; the summary tables are handy; and the future-directions section is broad, which is normal for a survey.

The soft spots are real but not fatal. The introduction defines the operational band as 500–3000 m above ground, but the paper's own material — layered management below 400 feet, rooftop landing platforms, last-mile logistics among pedestrians and vehicles — clearly operates below 500 m. That is a scope contradiction, and it matters because the architecture is supposed to be the foundation for LAE. Either the definition should be corrected to start at ground level, or the paper should explain why the sub-500 m layer is excluded. Second, Table IV lists references [155]–[157] for AI-based MPC, but those are A-GNSS papers; the correct MPC references in the text are [200]–[201]. That kind of error undermines confidence in the other tables. Third, P1954 is still a draft standard and is cited as a published standard; that should be flagged.

I would not call the survey groundbreaking — it is an organizational synthesis, not a new result — but it is a legitimate contribution to a hot area. The citation issues are fixable. After corrections, it could become a standard entry point for researchers entering LAE. As is, I would not cite it for specific technical claims without checking the original sources.

Recommendation: send to peer review with major revision, mainly for the airspace definition and citation accuracy. It deserves referee time; not a desk reject.

Referee Report

3 major / 4 minor

Summary. This survey paper proposes a vision and a three-layer architecture for next-generation low-altitude economy (LAE) networks, anchored in a set of recent IEEE standards. It then reviews three clusters of enabling technologies—communication/sensing/computing, positioning/navigation/surveillance, and flight control/airspace management—and maps them onto three application scenarios (logistics, rescue, transportation). The paper closes with six future research directions, including adaptive airspace optimization, security, energy management, quantum-driven coordination, generative governance, and 3D coverage. The paper contains no original derivations or experiments; its contribution is a structured synthesis and a taxonomy of technologies and applications.

Significance. As a survey, the paper is timely and addresses a relevant and rapidly evolving topic. It assembles a broad reference set, proposes a clear architectural framework, and explicitly emphasizes multi-technology integration, which is the right lens for LAE networks. Its strengths include the use of recent standards (IEEE 1939.1, 1937.8, 1937.3), the organization of a large body of work into comparison tables, and the concrete application scenarios with illustrative figures. If the scope is corrected and the citation errors fixed, the survey would be a valuable entry point for researchers and standardization efforts. The contribution is not a quantitative or algorithmic advance, and the survey's value depends on the accuracy of its scoping and references.

major comments (3)

[Section I; Section III-C-2; Section IV-A] The Introduction defines the target airspace as "between 500 and 3000 meters above the ground." This definition is internally inconsistent with the rest of the manuscript. Section III-C-2 cites [192] on layered management of airspace "below 400 feet" (about 120 m), which is below the stated lower bound. Section IV-A's short-distance delivery scenario explicitly involves pedestrians, vehicles, and buildings and cites sense-and-avoid references [205], [206], and [209] that are relevant to altitudes well below 500 m. The architecture in Section II-B-1 includes rooftop landing platforms, which are at or near ground level. The paper therefore either excludes a large share of actual LAE operations or misstates its own scope. Please revise the airspace definition (e.g., from ground level to 3000 m with a stated decomposition) and make the Introduction consistent with the architecture and application sections.
[Table IV] The AI-based MPC row in Table IV lists references [155]–[157]. These references are about Assisted GNSS: [155] is an "Assisted GNSS" chapter, [156] is a 5G-assisted positioning paper for GNSS-challenged environments, and [157] is an Assisted-GNSS positioning algorithm. None of them addresses model predictive control. The correct citations for AI-based MPC appear in the text as [200] and [201]. Please correct the table.
[Section II-A-3; reference [45]] The paper refers to "the P1954 standard [45]" and the reference list labels it "IEEE Std P1954, 2021." IEEE P1954 is a draft standards project, not an approved standard, and the designation "Std P1954" is not a valid published standard citation. Presenting a draft as a ratified standard is misleading for a survey whose authority rests partly on standards. Please state the draft status explicitly and cite the draft number and date correctly, or remove the claim that it is a standard.

minor comments (4)

[Section III-B-1] The sentence "improving the positioning accuracy to 250 meters" (in the discussion of [153]) is confusing: 250 m is not high-precision positioning, and the phrasing suggests an error in reporting the original result. Please check the source and rephrase.
[Section III-C-2] The proposals for enhancing layered management with cloud-based air traffic management, and for cross-zone coordination with automated protocols and edge computing, are stated without citations. Adding references would strengthen those claims.
[Section VI (also throughout)] There are several typographical and grammatical issues, e.g., "In addition, this standard immunity to space, territory, or terrain limitations" should read "In addition, this standard is immune to space, territory, or terrain limitations." A careful language pass is recommended.
[Table I] The comparison of related surveys in Table I is useful, but the selection criteria for inclusion are not stated. Making the selection criteria explicit would improve reproducibility and help readers judge coverage.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the survey's synthesis claim is descriptive and supported by independent standards and literature; self-citations are illustrative, not load-bearing.

full rationale

This is a survey paper, not a derivation paper, so the circularity patterns based on fitted parameters, predicted quantities, or uniqueness theorems do not apply. The central thesis is that low-altitude economy networks require deep integration of communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management, and this claim is advanced through descriptive architecture (Section II), technology summaries (Section III), and application examples (Section IV). The paper contains no equations whose outputs reduce to inputs, no fitted parameter that is later renamed as a prediction, and no self-citation chain that is used to force the central architectural choice. Several references are authored by the same research group (e.g., refs. [14], [17], [25], [43], [125]–[127]), but they are cited as specific examples of techniques or applications, such as GAI-enabled wireless communications or embodied AI for ISC3, rather than as the sole or load-bearing justification for the survey's framework. The architecture is anchored to independently published IEEE standards (1939.1-2021, 1937.8-2024, 1937.3-2024, P1920.1) and a broad external literature. The paper's unusual definition of low-altitude airspace as 500–3000 m and its internal inconsistency with later ground-level scenarios is a scoping or correctness issue, not a circularity issue, and the draft status of IEEE P1954 is a reliability concern rather than evidence that the paper's claims reduce to their own inputs. No specific circular step can be exhibited, so the appropriate finding is no significant circularity.

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

No new entities are postulated. The paper introduces a conceptual three-layer architecture, but that is a taxonomy, not an invented physical entity.

assumptions (2)

domain assumption Low-altitude economy networks are an identifiable technology class distinct from traditional UAV networks.
The entire survey depends on this categorization; no empirical proof is given for its distinctness.
domain assumption The cited IEEE standards, including the draft P1954, are accurate and sufficient for LAE network design.
Section II.A uses these standards as the foundation for vision and architecture; P1954 is a draft standard, which weakens the assumption.

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Cite this review

Pith. "Pith review of Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions." pith.science (2026). https://pith.science/paper/7AP6MJKY

@misc{pith2026250421583,
  author       = {Pith},
  title        = {Pith review of: Toward Realization of Low-Altitude Economy Networks: Core Architecture, Integrated Technologies, and Future Directions},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/7AP6MJKY}},
  note         = {Machine review of arXiv:2504.21583}
}

read the original abstract

The rise of the low-altitude economy (LAE) is propelling urban development and emerging industries by integrating advanced technologies to enhance efficiency, safety, and sustainability in low-altitude operations. The widespread adoption of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft plays a crucial role in enabling key applications within LAE, such as urban logistics, emergency rescue, and aerial mobility. However, unlike traditional UAV networks, LAE networks encounter increased airspace management demands due to dense flying nodes and potential interference with ground communication systems. In addition, there are heightened and extended security risks in real-time operations, particularly the vulnerability of low-altitude aircraft to cyberattacks from ground-based threats. To address these, this paper first explores related standards and core architecture that support the development of LAE networks. Subsequently, we highlight the integration of technologies such as communication, sensing, computing, positioning, navigation, surveillance, flight control, and airspace management. This synergy of multi-technology drives the advancement of real-world LAE applications, particularly in improving operational efficiency, optimizing airspace usage, and ensuring safety. Finally, we outline future research directions for LAE networks, such as intelligent and adaptive optimization, security and privacy protection, sustainable energy and power management, quantum-driven coordination, generative governance, and three-dimensional (3D) airspace coverage, which collectively underscore the potential of collaborative technologies to advance LAE networks.

Figures

Figures reproduced from arXiv: 2504.21583 by the authors.

**Figure 1.** The survey paper is structured as follows: Overview of LAE Networks (Section II), Enabling Technologies for LAE Network Development (Section III), Multi-Technology Integration for Low-Altitude Applications (Section IV), and Future Directions for Collaborative Technologies in LAE Networks (Section V). [13] allow these aircraft to offer vertical take-off and landing, low noise levels, and extended range, thereby elimi… view at source ↗

**Figure 2.** GAI-driven computing in LAE networks. Part A presents an MECbased architecture, where GAI supports applications including text generation, AI chatbots, and decision-making. Part B illustrates a cloud-edge-end collaborative framework, where GAI facilitates functions such as image generation, video generation, and graph creation. signal interference, real-time system coordination, and multimodal data fusion. 3) GAI… view at source ↗

**Figure 3.** Proposed multi-user wireless network architecture under the ISCC [PITH_FULL_IMAGE:figures/full_fig_p010_3.png] view at source ↗

Figures from the paper (7 more)

**Figure 4.** Figure 4: An integrated UAV navigation and positioning framework. Part A presents the GNSS module, which utilizes BDS, Galileo, GPS, and GLONASS for initial positioning, with A-GNSS and ground stations enhancing accuracy. Part B outlines the SLAM process, where the front end han…

**Figure 5.** Figure 5: Overall structure of the INS/LiDAR SLAM LC integration system [PITH_FULL_IMAGE:figures/full_fig_p012_5.png]

**Figure 6.** Figure 6: Air traffic surveillance architectures: ADS-B, MLAT, and expected [PITH_FULL_IMAGE:figures/full_fig_p013_6.png]

**Figure 7.** Figure 7: A schematic diagram of PID–ILAFC [186]. Specifically, the PID [PITH_FULL_IMAGE:figures/full_fig_p014_7.png]

**Figure 9.** Figure 9: The network structure based on zones [194]. [PITH_FULL_IMAGE:figures/full_fig_p015_9.png]

**Figure 10.** Figure 10: The role of multi-technology integration in optimizing UAV operations for logistics, which focuses on two key scenarios: warehouse to retail store [PITH_FULL_IMAGE:figures/full_fig_p016_10.png]

**Figure 11.** Figure 11: Leveraging multi-technology integration to enhance UAV efficiency [PITH_FULL_IMAGE:figures/full_fig_p017_11.png]

Discussion (0). Continue with ORCID to comment.

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