{"id":"5e7ae0a6-10fe-48b0-80bc-0d24ddce8a20","arxiv_id":"2606.07091","paper_version":1,"verdict":"UNVERDICTED","confidence":"LOW","novelty_score":6.0,"correctness_risk":"unknown","formal_verification":"none","parameter_count":1,"one_line_summary":"An RS-inspired uplink near-field ISAC framework generalizes NOMA-based S-C and C-C approaches, derives closed-form CR and SR expressions accounting for residual interference, and shows an enlarged rate region under sensing-matched illumination with bounded large-array behavior.","lead":"The paper develops a rate-splitting framework for uplink near-field integrated sensing and communication that splits communication messages to manage interference between sensing and communication functions. A smart generalist might read it to see how spectrum sharing can be improved in emerging wireless systems that combine data transmission with radar-like sensing.","discovery_kind":"new_method","skeptic_critique":{"model":"grok-4.3","headline":"Central containment/enlargement claim rests on unverified residual interference model under sensing-matched illumination","rationale":"The reader's weakest_assumption correctly isolates the single modeling choice that makes the central claim go through. No other internal inconsistency or derivation gap is visible from the provided material that would independently undermine the argument.","tokens_in":1830,"tokens_out":294,"duration_ms":8968,"concrete_test":"Recompute the achievable CR-SR boundary (as in the paper's rate-region characterization) after replacing the residual interference term with the perfect-estimation case (zero residual) while keeping all other parameters fixed; if the RS boundary no longer strictly contains or enlarges the NOMA time-sharing region, the modeling assumption is load-bearing.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The strongest claim states that the single-frame RS-inspired boundary contains the NOMA time-sharing region and can strictly enlarge it because the split factor reshapes sensing-stage interference (unlike classical uplink MAC). This follows directly from the closed-form CR/SR expressions that incorporate a specific residual sensing interference term arising from target-response estimation uncertainty, derived under the sensing-matched illumination assumption. If that illumination condition fails or the interference model is inexact (e.g., different estimation error statistics or non-matched beams), the claimed reshaping effect and resulting region containment do not necessarily hold; the numerical validation and high-SNR analysis inherit the same modeling premise.","agreement_with_reader":"agree"},"referee_report":{"model":"grok-4.3","summary":"The paper develops a rate-splitting (RS)-inspired framework for uplink near-field ISAC that generalizes NOMA by splitting the communication message across the sensing operation. It derives closed-form expressions for communication-rate (CR) and sensing-rate (SR) accounting for residual sensing interference from target-response estimation uncertainty. The achievable CR-SR rate region is characterized under sensing-matched illumination, showing that the RS-inspired boundary contains the NOMA-inspired time-sharing region and can strictly enlarge it because the split factor reshapes sensing-stage interference. High-SNR and large-array analyses are provided using an aperture-aware near-field channel model, with numerical validation.","tokens_in":1996,"tokens_out":434,"duration_ms":14006,"significance":"If the modeling assumptions hold, this work provides valuable insights into using RS for managing S&C interference in uplink ISAC, with the potential to achieve better tradeoffs than NOMA time-sharing. The closed-form derivations, high-SNR analysis showing slope vs offset effects, and large-array limits demonstrating finite rates are analytical strengths. The near-field modeling adds practical relevance.","major_comments":[{"comment":"Abstract: The central claim that the RS-inspired boundary contains and can strictly enlarge the NOMA time-sharing region because 'the split factor in uplink ISAC also reshapes the sensing-stage interference' is load-bearing. This rests on the specific residual sensing interference term arising from target-response estimation uncertainty under the sensing-matched illumination assumption. The manuscript should explicitly derive (in the section presenting the closed-form CR/SR expressions) how this term depends on the split factor in a manner that produces the claimed reshaping effect, as opposed to merely recovering the time-sharing face as in the classical Gaussian uplink MAC.","section":"Abstract"}],"minor_comments":[{"comment":"The abstract states that 'numerical results validate the analysis and demonstrate the benefits'; a table listing the simulation parameters (e.g., array size, SNR range, split-factor values) would improve reproducibility.","section":null}],"recommendation":"major_revision","confidential_remarks":null},"author_rebuttal":{"model":"grok-4.3","summary":"We thank the referee for the constructive comment on our manuscript. The point regarding explicit derivation of the split-factor dependence in the residual sensing interference is valid and will be addressed in revision.","responses":[{"response":"We agree that the claim is central and benefits from an explicit step-by-step derivation. The closed-form CR and SR expressions already incorporate the residual interference term (arising from target-response estimation uncertainty under sensing-matched illumination), and this term depends on the split factor through the power allocation between the common and private communication streams that affects the sensing-stage illumination. However, the dependence is currently embedded within the overall expressions rather than isolated in a dedicated derivation. In the revised manuscript we will add, in the section presenting the closed-form expressions, an explicit paragraph deriving I_res(α) = σ_e² · P_s(α) where P_s(α) is the effective sensing power shaped by the split factor α, and we will contrast this functional dependence with the classical Gaussian MAC (where no such sensing-stage reshaping occurs). This addition will directly support the claimed enlargement of the rate region.","revision_made":"yes","referee_comment":"[Abstract] Abstract: The central claim that the RS-inspired boundary contains and can strictly enlarge the NOMA time-sharing region because 'the split factor in uplink ISAC also reshapes the sensing-stage interference' is load-bearing. This rests on the specific residual sensing interference term arising from target-response estimation uncertainty under the sensing-matched illumination assumption. The manuscript should explicitly derive (in the section presenting the closed-form CR/SR expressions) how this term depends on the split factor in a manner that produces the claimed reshaping effect, as opposed to merely recovering the time-sharing face as in the classical Gaussian uplink MAC."}],"tokens_in":1472,"tokens_out":377,"duration_ms":18560,"standing_objections":[]},"desk_editor":{"model":"grok-4.3","letter":"The paper shows that rate-splitting can enlarge the communication-sensing rate region in uplink near-field ISAC compared to NOMA time-sharing. The split factor adjusts both decoding and the sensing-stage interference term, which is the key difference from the classical MAC case.\n\nThey generalize the NOMA-inspired ISAC setup by splitting the communication message across the sensing operation. Closed-form CR and SR expressions are given that include residual sensing interference from target-response estimation uncertainty. The rate region is characterized under sensing-matched illumination, with the RS boundary containing or strictly exceeding the NOMA time-sharing one. High-SNR analysis and large-array limits under the aperture-aware near-field model are derived, showing bounded rates as the array grows. Numerical results back the expressions and the region improvement.\n\nThe derivations and the explicit comparison to NOMA are the useful parts. The observation that the split affects sensing interference in a way that can strictly enlarge the tradeoff is the actual new element.\n\nThe soft spot is the dependence on the specific residual interference model and the sensing-matched illumination assumption. If estimation error statistics or beam alignment differ in practice, the claimed containment and enlargement may not hold. The abstract states the closed-forms exist, but the steps would need checking for any modeling choices that affect the interference term.\n\nThis is for people working on ISAC rate regions and near-field multiple access. A reader focused on concrete generalizations of NOMA-ISAC would find the expressions and limits worth looking at. It deserves peer review because it supplies a new boundary and analysis that builds on prior work in the subfield.","headline":"RS splitting enlarges the uplink near-field ISAC rate region beyond NOMA time-sharing because the split factor reshapes sensing interference, but the gain rests on the residual interference model and matched illumination.","tokens_in":2508,"tokens_out":402,"would_cite":false,"duration_ms":14425,"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":"Rate splitting in uplink near-field ISAC contains or enlarges the NOMA time-sharing region for communication and sensing rates.","keywords":["rate-splitting","uplink ISAC","near-field","NOMA","communication-sensing tradeoff","residual interference"],"falsifier":"A calculation or simulation showing that under sensing-matched illumination the RS-inspired boundary does not contain or enlarge the NOMA time-sharing region for the communication-sensing rate tradeoff.","tokens_in":2744,"feed_emoji":"📡","tokens_out":541,"duration_ms":13872,"temperature":0.7,"pith_summary":"This paper develops a rate-splitting inspired framework for uplink near-field integrated sensing and communication. It shows that splitting the communication message allows a single-frame boundary that includes the region achieved by non-orthogonal multiple access time-sharing. The split factor also affects sensing interference, enabling the boundary to match or exceed the tradeoff between communication rate and sensing rate. High signal-to-noise ratio analysis and large array limits are derived using a near-field channel model.","feed_headline":"Rate splitting enlarges uplink ISAC tradeoff region beyond NOMA","feed_subtitle":"Splitting the message reshapes sensing interference, allowing a single-frame boundary that contains or exceeds time-sharing performance.","key_machinery":"The rate-splitting factor that splits the communication message across the sensing operation, which reshapes both communication decoding and residual sensing interference.","core_discovery":"The achievable communication-rate and sensing-rate region under sensing-matched illumination is characterized by a rate-splitting inspired boundary that contains the non-orthogonal multiple access inspired time-sharing region, and the split factor reshapes the sensing-stage interference allowing the boundary to match or strictly enlarge the sensing and communication tradeoff.","pith_inferences":["This suggests rate-splitting could be useful in other integrated sensing and communication setups where interference between functions is asymmetric.","The finite large-array rates imply that simply adding more antennas may not yield unbounded gains without adjusting the model.","Extensions could test the framework with different target estimation uncertainties."],"forward_implications":["The RS-inspired boundary contains the NOMA time-sharing region.","For non-aligned channels, residual interference changes rate offsets but not leading slopes.","In aligned case, residual interference becomes slope-limiting.","Achievable rates remain finite as array size grows in near-field model."],"fun_headline_variants":["RS boundary contains NOMA time-sharing in uplink ISAC","Split factor reshapes sensing interference in uplink ISAC","RS boundary matches or enlarges ISAC tradeoff region","Single-frame RS boundary contains NOMA time-sharing"],"cache_read_input_tokens":2112,"weakest_assumption_plain":"The claims rest on sensing-matched illumination and the specific model for residual sensing interference from target-response estimation uncertainty.","fun_headline_variants_meta":{"raw":{"variants":["RS boundary contains NOMA time-sharing in uplink ISAC","Split factor reshapes sensing interference in uplink ISAC","RS boundary matches or enlarges ISAC tradeoff region","Single-frame RS boundary contains NOMA time-sharing"]},"model":"grok-4.3","cost_usd":0.007384,"raw_usage":{"total_tokens":3425,"prompt_tokens":728,"num_sources_used":0,"completion_tokens":55,"cost_in_usd_ticks":73837000,"prompt_tokens_details":{"text_tokens":728,"audio_tokens":0,"image_tokens":0,"cached_tokens":256},"completion_tokens_details":{"audio_tokens":0,"reasoning_tokens":2642,"accepted_prediction_tokens":0,"rejected_prediction_tokens":0}},"tokens_in":728,"tokens_out":55,"duration_ms":14705,"temperature":1.0,"reasoning_tokens":2642,"cache_read_input_tokens":256,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-06-27T21:15:12.727770+00:00","model_set":{"reader":"grok-4.3"},"falsifier":"A calculation or simulation showing that under sensing-matched illumination the RS-inspired boundary does not contain or enlarge the NOMA time-sharing region for the communication-sensing rate tradeoff.","supporting_citations":[],"review_version":1}