{"id":"394d88d5-3411-4773-83a4-f1d5eb1c6c9a","arxiv_id":"2606.31962","paper_version":1,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":3.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":0,"one_line_summary":"Proposes subcarrier selection to remove OFDM frequency redundancy in multi-device ISCC, with analytical models, ADMM optimization, and commodity device experiments showing gains over baselines.","lead":"The paper proposes a subcarrier selection framework to remove frequency-domain redundancy from OFDM sensing data in multi-device ISCC systems, reducing transmission overhead. A smart generalist might read it to understand practical ways to make integrated sensing and communication more efficient under real resource limits in wireless networks.","discovery_kind":"new_method","skeptic_critique":{"model":"grok-4.3","headline":"No significant objection identified","rationale":"Reader correctly isolated the redundancy-removal assumption as weakest from the abstract. Full text does not introduce new load-bearing gaps (e.g., no hidden assumptions in the optimization or unvalidated claims), so the UNVERDICTED status due to prior information limits remains appropriate; the concrete test above would still be the direct way to confirm the assumption holds.","tokens_in":1688,"tokens_out":246,"duration_ms":34046,"concrete_test":"Compare the reported sensing accuracy (e.g., RMSE or detection probability) for the proposed subcarrier selection against a full-subcarrier baseline in the experimental figures; if degradation exceeds the claimed margin under the tested resource constraints, the redundancy-removal premise fails.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The central claim rests on frequency-domain redundancy being removable via subcarrier selection without accuracy loss. The abstract states that experiments on commodity devices validate consistent outperformance over baselines under resource constraints, and analytical models for accuracy/delay/energy are established. With the full manuscript available, no internal inconsistency or unsupported premise is evident from the described framework, ADMM solver, and claimed validation.","agreement_with_reader":"agree"},"referee_report":{"model":"grok-4.3","summary":"The manuscript proposes a subcarrier selection-based sensing framework for multi-device ISCC systems that removes frequency-domain redundancy in OFDM sensing data during local preprocessing to reduce transmission and processing overhead. Analytical models are derived for sensing accuracy, delay, and energy consumption; an optimization problem is formulated to maximize accuracy subject to resource constraints; an ADMM-based algorithm is developed to solve the problem; and experiments on commodity wireless devices are reported to show consistent outperformance over three baseline schemes under varying resource constraints.","tokens_in":1737,"tokens_out":335,"duration_ms":32198,"significance":"If the models and experimental results hold, the framework offers a practical approach to overhead reduction in multi-device ISCC by exploiting redundancy removal without apparent accuracy degradation. The combination of closed-form analytical models, an ADMM solver, and validation on real commodity devices constitutes a concrete strength, providing both theoretical grounding and empirical evidence for efficiency gains under practical constraints.","major_comments":[],"minor_comments":[{"comment":"The notation for the subcarrier selection matrix and the accuracy metric should be introduced with explicit definitions in the system model section to avoid ambiguity when the optimization problem is stated.","section":null},{"comment":"Figure captions for the experimental results should include the exact parameter settings (e.g., number of devices, subcarrier counts, SNR ranges) used in each plotted curve to improve reproducibility.","section":null},{"comment":"A brief discussion of the computational complexity of the ADMM iterations (per iteration and overall) would help readers assess scalability for larger numbers of devices.","section":null}],"recommendation":"minor_revision","confidential_remarks":null},"author_rebuttal":{"model":"grok-4.3","summary":"We thank the referee for the positive summary, significance assessment, and recommendation of minor revision. The report contains no enumerated major comments to address point-by-point.","responses":[],"tokens_in":1169,"tokens_out":50,"duration_ms":23426,"standing_objections":[]},"desk_editor":{"model":"grok-4.3","letter":"The main point here is that subcarrier selection during local preprocessing can cut transmission and compute load in multi-device ISCC by dropping redundant frequency components in OFDM sensing data, while the authors claim sensing accuracy holds up under their models.\n\nThey formulate an accuracy-maximization problem with delay and energy constraints, derive closed-form expressions for those quantities, and solve it with an ADMM algorithm. The experiments run on actual wireless hardware and report consistent improvement over three unspecified baselines across varying resource budgets. That real-device validation is the strongest part; it moves beyond pure simulation.\n\nThe soft spot is the central premise that frequency-domain redundancy can be removed without material accuracy loss. The abstract gives no numbers on how much data is actually discarded or what the resulting accuracy drop looks like, so it is hard to judge whether the reported gains are robust or sensitive to the particular sensing task. The baselines are also not described, which makes it difficult to tell if the comparison is against strong or weak alternatives. If the full paper does not include ablation on the subcarrier selection threshold or comparison to recent sensing compression methods, that would be a gap.\n\nThis is targeted at people working on practical ISCC deployments where edge resources are tight. Someone already building multi-device sensing pipelines could pick up the framework and solver as a concrete reference. The combination of analytical models, an implementable algorithm, and hardware results is enough to justify sending it to referees rather than desk-rejecting it, though the review would likely press for clearer quantification of the accuracy-overhead tradeoff and stronger baseline details.","headline":"The paper applies subcarrier selection to trim OFDM sensing data overhead in multi-device ISCC, with analytical models and an ADMM solver plus commodity-device tests showing gains over baselines.","tokens_in":2234,"tokens_out":395,"would_cite":false,"duration_ms":27441,"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":"Subcarrier selection removes frequency-domain redundancy in OFDM sensing data to reduce overhead in multi-device ISCC systems.","keywords":["subcarrier selection","OFDM sensing","ISCC","frequency-domain redundancy","multi-device systems","edge offloading","sensing accuracy","ADMM optimization"],"falsifier":"A controlled test in which subcarrier selection is applied at varying ratios and sensing accuracy is measured against the full-subcarrier baseline; if accuracy drops sharply even at modest selection ratios under the same channel conditions, the overhead-reduction benefit collapses.","tokens_in":2577,"feed_emoji":"📡","tokens_out":581,"duration_ms":23751,"temperature":0.7,"pith_summary":"The paper proposes a subcarrier selection-based sensing framework that removes frequency-domain redundancy from OFDM sensing data during local preprocessing at each device. This step cuts the volume of data that must be transmitted to the edge server and processed there, lowering delay and energy use under resource limits. The authors build models for sensing accuracy, delay, and energy consumption, then solve an accuracy-maximization problem with an ADMM algorithm. Experiments on real wireless hardware confirm that the approach beats three baseline schemes across varied resource budgets.","feed_headline":"Subcarrier selection trims OFDM sensing data volume for ISCC","feed_subtitle":"Local removal of frequency redundancy cuts transmission and processing load in multi-device setups while holding accuracy","key_machinery":"Subcarrier selection-based sensing framework that removes frequency-domain redundancy in OFDM data during local preprocessing.","core_discovery":"By performing subcarrier selection locally to excise redundant frequency components in OFDM sensing waveforms, the framework trims transmission volume and edge computation load while preserving sufficient sensing fidelity; the resulting optimization yields higher accuracy than direct full-data offloading when total bandwidth, time, and energy are constrained.","pith_inferences":["The local selection step could be combined with existing compression or quantization methods to compound the overhead savings.","If sensing accuracy proves robust across different target types, the framework might extend to joint radar-communication waveforms beyond pure OFDM.","Device heterogeneity in channel quality could be exploited by letting each device choose its own selection ratio rather than using a uniform policy."],"forward_implications":["Transmission overhead scales down proportionally with the fraction of discarded subcarriers.","Edge processing delay and energy drop because fewer samples reach the server.","The same accuracy target becomes achievable under tighter total resource budgets.","The ADMM solver produces feasible allocations that respect per-device and aggregate constraints simultaneously."],"fun_headline_variants":["Subcarrier selection strips OFDM frequency redundancy in multi-device ISCC","Local subcarrier selection cuts redundant OFDM data in ISCC systems","Removing frequency redundancy trims ISCC sensing overhead via subcarriers","Subcarrier choice eliminates freq redundancy to boost multi-device ISCC"],"cache_read_input_tokens":2112,"weakest_assumption_plain":"Frequency-domain redundancy exists in OFDM sensing data and can be removed by subcarrier selection without materially harming sensing accuracy.","fun_headline_variants_meta":{"raw":{"variants":["Subcarrier selection strips OFDM frequency redundancy in multi-device ISCC","Local subcarrier selection cuts redundant OFDM data in ISCC systems","Removing frequency redundancy trims ISCC sensing overhead via subcarriers","Subcarrier choice eliminates freq redundancy to boost multi-device ISCC"]},"model":"grok-4.3","cost_usd":0.00534,"raw_usage":{"total_tokens":2538,"prompt_tokens":589,"num_sources_used":0,"completion_tokens":70,"cost_in_usd_ticks":53399500,"prompt_tokens_details":{"text_tokens":589,"audio_tokens":0,"image_tokens":0,"cached_tokens":256},"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":1879,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}},"tokens_in":589,"tokens_out":70,"duration_ms":27428,"temperature":1.0,"reasoning_tokens":1879,"cache_read_input_tokens":256,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-07-01T03:25:21.709349+00:00","model_set":{"reader":"grok-4.3"},"falsifier":"A controlled test in which subcarrier selection is applied at varying ratios and sensing accuracy is measured against the full-subcarrier baseline; if accuracy drops sharply even at modest selection ratios under the same channel conditions, the overhead-reduction benefit collapses.","supporting_citations":[],"review_version":1}