Beamforming Design for Novel Relay-Assisted Multi-User Multi-Tag Symbiotic Radios
Bibliographic record
Abstract
This letter considers a novel relay-assisted, multi-user multi-tag uplink symbiotic radio system, in which a relay node forwards multiple users’ signals to a base station (BS), meanwhile powering multiple backscatter tags. We put forth a new joint transmit and receive beamforming design problem to minimize the relay’s transmit power while satisfying the signal-to-interference-plus-noise ratio (SINR) constraints of both the primary users and the tags. An alternating optimization algorithm based on semi-definite programming (SDP) and zero-forcing is proposed to solve this non-convex power minimization problem. The proposed approach is also extended to jointly optimize the transmit/receive beamforming to maximize the minimal SINR of the tags under a given relay power budget. Numerical results show that the proposed beamforming designs significantly outperform the benchmarks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".