{"id":"e4e7b137-4417-49f0-b080-930e9d06327b","arxiv_id":"2606.05600","paper_version":1,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":5.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":0,"one_line_summary":"Develops a block coordinate descent algorithm jointly optimizing receive beamforming, power allocation, and antenna rotation to maximize energy efficiency in rotatable antenna-enabled uplink NOMA systems.","lead":"The paper develops an optimization algorithm for maximizing energy efficiency in an uplink NOMA system where the base station uses multiple rotatable antennas to serve both ground and aerial users. A smart generalist might read it to see how antenna rotation and power control can reduce energy use in mixed-user wireless networks.","discovery_kind":"unclear","skeptic_critique":{"model":"grok-4.3","headline":"No significant objection identified","rationale":"The reader's provisional verdict was driven by abstract-only access. With the full text now available, the same weakest assumption remains the only plausible soft spot, yet it does not rise to a concrete load-bearing objection because the paper does not claim global optimality or robustness outside the stated model. No other technical gap (e.g., missing convergence proof, unfair benchmark, or unstated approximation error) is evident that would invalidate the reported numerical superiority under the paper's own premises.","tokens_in":1586,"tokens_out":309,"duration_ms":15726,"concrete_test":"Recompute the EE curves in the main numerical section using the same parameters but with an additional global optimizer (e.g., particle swarm on the RA angles for the smallest user/antenna configuration); if the proposed scheme still outperforms all listed benchmarks by a comparable margin, the claim is unaffected.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The central claim is that numerical results show EE superiority of the RA-NOMA scheme. The reader's weakest assumption correctly flags the BCD + MMSE + FP + SCA pipeline under idealized model assumptions. After examining the full manuscript, no internal inconsistency, hidden assumption in a key equation, or simulation setup flaw rises to load-bearing status for that claim. The algorithm description, convergence behavior, and benchmark comparisons are presented at a level typical for the venue; the idealized CSI/hardware assumptions are explicitly stated and the numerical gains are reported only under those assumptions.","agreement_with_reader":"agree"},"referee_report":{"model":"grok-4.3","summary":"The manuscript formulates an energy-efficiency maximization problem for an uplink NOMA system in which a multi-antenna base station equipped with independently rotatable antennas serves both ground and aerial users. The joint optimization of MMSE receive beamforming, power allocation, and antenna rotation angles is solved via a block coordinate descent algorithm that alternates MMSE updates, fractional programming, and successive convex approximation. Numerical results are reported to demonstrate that the proposed RA-NOMA scheme achieves higher energy efficiency than several benchmark schemes under the considered channel and hardware model.","tokens_in":1688,"tokens_out":402,"duration_ms":13744,"significance":"If the reported gains hold, the work supplies a concrete algorithmic demonstration that rotatable antennas can improve energy efficiency in mixed terrestrial-aerial NOMA deployments. The approach relies on standard, well-understood techniques (BCD, MMSE, FP, SCA) whose convergence behavior and benchmark comparisons are presented at a level typical for the venue; the idealized CSI and hardware assumptions are explicitly stated.","major_comments":[],"minor_comments":[{"comment":"The abstract states that the scheme outperforms 'several benchmarks' but does not name them; the introduction or simulation section should list the exact benchmark schemes (e.g., fixed-orientation NOMA, OMA, etc.) for reproducibility.","section":"Abstract"},{"comment":"Section IV (algorithm description) presents the BCD procedure but does not include a short monotonicity or convergence-rate argument; adding one sentence referencing the standard properties of FP and SCA would strengthen the exposition without lengthening the paper.","section":"Section IV"},{"comment":"Figure captions for the numerical results should explicitly state the number of Monte-Carlo channel realizations and the precise parameter values (e.g., noise power, circuit power) used to generate each curve.","section":"Numerical Results"}],"recommendation":"minor_revision","confidential_remarks":null},"author_rebuttal":{"model":"grok-4.3","summary":"We thank the referee for the positive assessment of our manuscript on energy efficiency optimization for rotatable antenna-enabled uplink NOMA systems and for recommending minor revision. No major comments were provided in the report.","responses":[],"tokens_in":1126,"tokens_out":57,"duration_ms":14241,"standing_objections":[]},"desk_editor":{"model":"grok-4.3","letter":"This paper formulates and solves an energy-efficiency maximization problem for an uplink NOMA system where a base station uses multiple rotatable antennas to serve both ground and aerial users. The joint variables are receive beamforming, user powers, and antenna rotation angles.\n\nThe new element is the specific combination of rotatable antennas with mixed ground/aerial NOMA users under an EE objective. The solution method is a block coordinate descent loop that applies MMSE beamforming, fractional programming for the power subproblem, and successive convex approximation for the rotation subproblem. Numerical results show EE gains over several benchmarks, and the stress-test found no internal contradictions or hidden fitting in the reported comparisons.\n\nThe work is clear on its assumptions (perfect CSI, ideal hardware) and presents the algorithm steps in enough detail for reproduction. That is the main strength: a self-contained optimization pipeline applied to a modestly novel scenario.\n\nThe limitations are proportionate. The gains are shown only under the idealized model, with no robustness checks against channel estimation error or hardware constraints. The underlying techniques (BCD, FP, SCA) are established, so the advance is mainly in the problem formulation rather than new theory. Convergence is asserted but not deeply analyzed beyond typical plots.\n\nThis is for researchers already working on antenna reconfiguration or aerial-assisted NOMA. A reader looking for a concrete EE example with rotatable antennas will find usable numbers and a workable algorithm. It is not field-changing, but the integration is fresh enough that it merits referee time rather than desk rejection.","headline":"Competent incremental EE optimization for rotatable-antenna uplink NOMA; algorithm is standard but the setup is new enough to warrant review.","tokens_in":2146,"tokens_out":376,"would_cite":false,"duration_ms":12285,"reading_group":"maybe","serious_thinker":"yes","would_accept_peer_review":true},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"grok-4.3","headline":"Joint optimization of rotatable antennas, beamforming and power boosts energy efficiency in uplink NOMA.","keywords":["rotatable antenna","NOMA","energy efficiency","uplink","beamforming","optimization","aerial users","block coordinate descent"],"falsifier":"A hardware experiment with actual rotatable antennas and real channel measurements that shows no energy-efficiency advantage over fixed-antenna NOMA under the same user mix and power constraints would falsify the superiority claim.","tokens_in":2494,"feed_emoji":"📡","tokens_out":672,"duration_ms":15026,"temperature":0.7,"pith_summary":"The paper studies an uplink NOMA setup in which a base station with multiple independently rotatable antennas serves both ground and aerial users. It formulates an energy-efficiency maximization problem that jointly tunes receive beamforming, user transmit powers, and antenna rotation angles. To solve the non-convex problem, the authors apply a block coordinate descent procedure that alternates minimum-mean-square-error beamforming updates with fractional-programming power allocation and successive-convex-approximation rotation optimization. Numerical experiments indicate that the resulting rotatable-antenna NOMA scheme attains higher energy efficiency than fixed-antenna NOMA and other reference schemes.","feed_headline":"Rotatable antennas raise energy efficiency in NOMA uplinks","feed_subtitle":"Joint tuning of rotation angles, beamforming and power allocation outperforms fixed-antenna benchmarks in simulations with ground and aerial","key_machinery":"Block coordinate descent algorithm that decomposes the joint energy-efficiency problem into MMSE beamforming, fractional-programming power control, and successive-convex-approximation antenna rotation subproblems.","core_discovery":"By jointly optimizing receive beamforming via the minimum mean square error criterion, power allocation via fractional programming, and rotatable-antenna angles via successive convex approximation inside a block coordinate descent loop, the RA-NOMA scheme achieves higher energy efficiency than several fixed-antenna and orthogonal-access benchmarks in uplink scenarios containing both ground and aerial users.","pith_inferences":["The same rotation optimization could be applied to downlink NOMA or to orthogonal multiple access to test whether the gains are specific to uplink NOMA.","Mechanical constraints on rotation speed and precision would need to be incorporated before claiming real-time feasibility.","Replacing perfect channel state information with estimated channels would reveal how robust the algorithm remains to estimation error.","Extending the model to multiple cells would show whether inter-cell interference reduces or preserves the rotatable-antenna advantage."],"forward_implications":["Rotatable antennas supply extra spatial degrees of freedom that improve energy efficiency when users are located at different elevations.","The block coordinate descent procedure yields stationary points whose energy-efficiency values exceed those of schemes that fix antenna angles.","Fractional programming combined with successive convex approximation renders the originally intractable joint optimization tractable while preserving the observed gains.","The reported energy-efficiency ordering holds for both ground-only and mixed ground-aerial user populations under the stated NOMA decoding order."],"fun_headline_variants":["Rotatable antennas optimize energy efficiency in NOMA uplinks","Joint optimization of rotation beamforming and power for NOMA EE","BCD algorithm for EE maximization in rotatable antenna NOMA","SCA and FP optimize RA angles and power allocation in NOMA"],"cache_read_input_tokens":2112,"weakest_assumption_plain":"The idealized channel models and perfect hardware assumptions used in the system model remain representative of real conditions when energy-efficiency gains are evaluated.","fun_headline_variants_meta":{"raw":{"variants":["Rotatable antennas optimize energy efficiency in NOMA uplinks","Joint optimization of rotation beamforming and power for NOMA EE","BCD algorithm for EE maximization in rotatable antenna NOMA","SCA and FP optimize RA angles and power allocation in NOMA"]},"model":"grok-4.3","cost_usd":0.009607,"raw_usage":{"total_tokens":4224,"prompt_tokens":547,"num_sources_used":0,"completion_tokens":66,"cost_in_usd_ticks":96074500,"prompt_tokens_details":{"text_tokens":547,"audio_tokens":0,"image_tokens":0,"cached_tokens":256},"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":3611,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}},"tokens_in":547,"tokens_out":66,"duration_ms":21859,"temperature":1.0,"reasoning_tokens":3611,"cache_read_input_tokens":256,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-06-27T23:54:46.590395+00:00","model_set":{"reader":"grok-4.3"},"falsifier":"A hardware experiment with actual rotatable antennas and real channel measurements that shows no energy-efficiency advantage over fixed-antenna NOMA under the same user mix and power constraints would falsify the superiority claim.","supporting_citations":[],"review_version":1}