REVIEW 2 major objections 5 minor 1 cited by
The optimal pinching-antenna position, relay gain, and base-station power are derived in closed form, and the design uses less total power than direct 64-antenna transmission or fixed-antenna relaying.
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 · deepseek-v4-flash
2026-08-02 21:05 UTC pith:MYJ5YUO3
load-bearing objection Useful zero-SI optimization for a horn-fed pinching-antenna relay, but the SI-aware claim in the title/abstract is not in the equations and the benchmark comparison is unfair. the 2 major comments →
Hybrid Wireless-Fed Pinching-Antenna Systems with Residual Self-Interference-Aware Optimization
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The central claim is that the end-to-end SNR of the proposed wireless-fed pinching-antenna system has a structure that decouples the placement problem from the power-allocation problem. For any fixed base-station power and relay gain, the SNR is monotonically increasing in the pinching antenna's channel gain, so the optimal position is found by maximizing |g2|² alone. Theorem 1 solves this maximization in closed form, balancing the exponential waveguide attenuation e^{-α_D x} against the free-space path loss to the user's location. With that position fixed, Theorem 2 reduces the remaining two-variable problem to a scalar convex optimization; substituting u = P1|g1|² − γ0 σ_R² yields closed-f
What carries the argument
The load-bearing object is the end-to-end SNR, γ = P1β²|g1|²|g2|² / (σ_UE² + β²|g2|²σ_R²), whose denominator contains only the two AWGN noise terms. The pinching-antenna channel gain |g2|² = c² e^{-α_D x} / (16π² f² ||Φ_UE − Φ_Pin||²) couples waveguide attenuation with free-space distance, so the optimal position maximizes f(x) = e^{-α_D x} / ((x_UE − x)² + y_UE² + d²). The second piece of machinery is the affine substitution u = P1|g1|² − γ0σ_R², which turns the power-minimization problem into a univariate function whose stationarity condition yields the closed-form relay gain β²* and BS power P1* in Theorem 2.
Load-bearing premise
The full-duplex relay is assumed to have zero residual self-interference: the end-to-end SNR in Eq. (8) contains only the AWGN terms σ_UE² and σ_R², with no loop-interference component in the denominator. If residual self-interference is nonzero, the SNR expression changes and the closed-form relay gain and base-station power in Theorem 2 no longer minimize the true SNR-constrained total power.
What would settle it
Measure the end-to-end SNR of a horn-antenna full-duplex relay as the relay gain β is swept at fixed BS power P1. If the measured SNR saturates below the value predicted by Eq. (8) at high β—indicating a loop-interference term that grows with β²—then the model's optimal gain formula (33) is too optimistic and the closed-form power minimum does not hold for a real relay.
If this is right
- The optimal pinching-antenna position can be computed directly from the user's coordinates and the waveguide attenuation coefficient, eliminating the need for iterative search during deployment.
- The relay gain and base-station power are given by simple algebraic formulas, so the system can adapt instantly to a new target SNR or noise floor without re-optimization.
- At 28 GHz with the paper's parameters, the proposed scheme's total power is substantially below direct 64-antenna NLoS transmission and fixed-antenna relaying.
- The decomposition of the SNR—placement first, power second—depends only on the monotonicity in |g2|², so the two-step method remains valid for other monotone channel-gain models.
- The closed-form minimum total power explicitly separates the relay-noise, user-noise, and coupling contributions, making it possible to see which link dominates the power budget in a given geometry.
Where Pith is reading between the lines
- The paper's title and metadata abstract promise an 'explicitly modeled' residual self-interference, but the body equations contain no loop-interference term: Eq. (8) is SI-free. Adding a nonzero residual SI term to the denominator would change the optimal relay gain and BS power, so the formulas in Theorem 2 are a lower bound for a real full-duplex relay rather than an SI-aware design.
- The horn antennas are the stated reason self-interference is 'effectively eliminated'; if a practical horn relay still has a small but nonzero loop component, the system will need either extra cancellation circuitry or a power back-off, both of which the closed-form optimum ignores.
- The 64-antenna benchmark includes 0.1 W of RF circuit power per element, so part of the reported power saving comes from replacing the array with a single horn antenna rather than from the pinching-position optimization itself; a benchmark using an equivalently high-gain phased array would separate these effects.
- The same position-then-power decomposition would likely carry over to multi-user or multi-waveguide scenarios, since the optimal position depends only on the single-user |g2|²; the relay-power balance would, however, need re-derivation when multiple users share the relay.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript studies a wireless-fed pinching-antenna system in which a full-duplex amplify-and-forward relay with horn antennas receives from a BS and feeds a dielectric waveguide; a movable pinching antenna radiates to a UE. The authors formulate a total-power minimization subject to a UE SNR constraint, jointly optimizing the pinching position x_Pin, relay gain β, and BS transmit power P1. Theorem 1 obtains the optimal position in closed form by maximizing |g2|^2; Theorem 2 derives closed-form P1* and β^2* using a univariate reduction. Numerical results compare the scheme with direct 64-antenna NLoS transmission and with fixed-antenna relaying. The derivations are internally consistent for the stated model, but the paper advertises residual self-interference awareness while Eqs. (1)–(9) omit any SI term.
Significance. Within the zero-SI model, the optimization is cleanly solved: the proofs are transparent, no fitted constants appear, and the separation of the position problem from the power/gain problem gives simple closed forms that could be useful for system-level design. The paper also positions horn antennas as a low-cost alternative to arrays at an FD relay, which is a plausible practical point. The advertised residual-SI-aware contribution, however, is not present: the signal model and optimization are SI-free. The numerical advantage over Benchmark 1 is also weakened by the asymmetric channel models. If these issues are corrected, the paper would be a solid, if incremental, contribution to the PAS literature.
major comments (2)
- [§II-A, Eqs. (1)–(8); §II-B] The title/metadata claim residual self-interference is 'explicitly modeled,' but Eq. (1) contains no SI term and Eq. (8)'s denominator has only σ_R^2 and σ_UE^2. The problem (10) and Theorems 1–2 are derived for a zero-SI AF relay; the body abstract says horn antennas 'effectively eliminat[e] self-interference.' With residual SI, a loop term depending on β^2 and P1 would enter the SNR, changing P1* and β^2* in Eqs. (32)–(33). The advertised SI-aware claim is therefore unsupported. Please include a residual-SI term and re-derive, or explicitly state the zero-SI assumption and adjust the title/abstract.
- [§IV, Figs. 1–2, Benchmark 1] Benchmark 1 models the direct BS–UE link as NLoS with path-loss exponent 4 and shadowing variance 11 dB, while the proposed architecture's links use free-space path loss (Eqs. (3), (9)). The comparisons in Figs. 1–2 therefore conflate architecture gains with channel-model differences. A LoS direct-transmission benchmark, or a justification for why NLoS is the correct comparison, is needed before claiming 'substantially outperforms.'
minor comments (5)
- [§IV] Typo: 'the proposed scheme outperforms Benchmark 2, which confirms the its superiority' should read 'confirms its superiority.'
- [Title/abstract] The metadata title and abstract advertise residual-SI-aware optimization, while the body title is 'Wireless-Fed Pinching-Antenna Systems with Horn Antennas' and the body abstract states SI is effectively eliminated. These should be reconciled.
- [Eq. (13)] Add parentheses to clarify the logical structure of the condition; as written, 'or x1 ≥ 0 and f(0) ≥ ...' is ambiguous.
- [§IV, Benchmark 1] Clarify whether the 0.1 W per-antenna RF-chain cost is included in P1 or treated as a fixed power offset; the text says total transmit power equals BS power, which is inconsistent if a per-element RF cost is added.
- [Theorem 1 proof] The proof states x1 is a local minimum and x2 a local maximum; when ∆=0 the two stationary points coalesce. The formula still works, but the degenerate case should be mentioned.
Circularity Check
No significant circularity: the power-minimization results are derived directly from the stated channel model, with no fitted inputs, no prediction-to-fit reduction, and no load-bearing self-citation.
full rationale
The derivation chain is self-contained. Theorem 1 maximizes the relay-UE channel gain |g2|^2 given in Eq. (9); Eqs. (14)-(19) are a direct derivative-based optimization of that expression. Theorem 2 minimizes the stated power objective J(P1, beta^2) under the SNR constraint (21); Eqs. (22)-(33) solve the resulting equality-constrained optimum using only model variables and constants. No parameter is fitted to a dataset and then reported as a prediction, and no claimed optimum is assumed in its own premise. References [14] and [16] supply the architecture and channel model, but the conclusions do not rest on an unverified theorem from those citations. The abstract's claim that residual self-interference is 'explicitly modeled' is not reflected in Eq. (1), which includes only the BS signal and relay noise, or in Eq. (8), which contains only sigma_R^2 and sigma_UE^2. That is a substantive model-consistency/overclaim problem for the SI-aware selling point, but it is not a circularity: the derived optima are the exact optima of the equations the paper actually writes. Therefore no circular step is identified.
Axiom & Free-Parameter Ledger
axioms (3)
- domain assumption Waveguide-plus-free-space channel model for the relay-to-UE link: |g2|^2 = c^2 e^{-\alpha_D x_Pin}/(16\pi^2 f^2 ||\Phi_UE - \Phi_Pin||^2).
- domain assumption No residual self-interference at the full-duplex relay; SNR in Eq. (8) contains only AWGN terms.
- domain assumption Benchmark 1 channel uses NLoS path-loss exponent 4 and 11 dB shadowing, while the proposed link uses free-space path loss.
read the original abstract
Pinching-antenna systems (PASS) have recently emerged as a promising solution for enhancing coverage in high-frequency wireless communications by guiding signals through dielectric waveguides and radiating them via position-adjustable antennas. However, their practical deployment is limited by waveguide attenuation and the need for physical line installation, which restrict flexibility and coverage extension. To address these challenges, this paper proposes a hybrid wireless-fed PASS architecture, where a base station equipped with an antenna array provides adaptive directional transmission to a full-duplex amplify-and-forward relay employing a horn antenna to feed the waveguide. This hybrid design balances beamforming flexibility and low-complexity directional waveguide interfacing. Residual self-interference (SI) at the full-duplex relay is explicitly modeled to capture practical system impairments. Under this framework, a total power minimization problem is formulated subject to a quality-of-service constraint at the user equipment, involving the joint optimization of the pinching-antenna position, the relay amplification gain, and the base station transmit power. By exploiting the structure of the end-to-end signal-to-noise ratio, the optimal pinching-antenna position is first obtained in closed form by balancing waveguide attenuation and free-space path loss. Closed-form expressions for the optimal relay gain and transmit power are then derived. Numerical results under the adopted system-level model demonstrate that the proposed scheme reduces total power consumption compared with conventional benchmark systems, while providing a more realistic and robust design by accounting for residual SI.
Figures
Forward citations
Cited by 1 Pith paper
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Pinching Antenna Systems (PASS): Enabling Reconfigurable and Controllable Wireless Channels -- A Comprehensive Survey
The paper provides a comprehensive review and categorization of pinching antenna systems (PASS) for objectives including network coverage, data rate, secure transmission, sensing, integrated sensing and communication,...
Reference graph
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