Relay-Reconfigurable Intelligent Surface Cooperation for\n Energy-Efficient Multiuser Systems
Bibliographic record
Abstract
Reconfigurable intelligent surfaces (RIS) have drawn considerable attention\nrecently due to their controllable scattering elements that are able to direct\nelectromagnetic waves into desirable directions. Although RISs share some\nsimilarities with relays, the two have fundamental differences impacting their\nperformance. To harness the benefits of both relaying and RISs, a multi-user\ncommunication system is proposed in this paper wherein a relay and an RIS\ncooperate to improve performance in terms of energy efficiency. To utilize the\nRIS efficiently, the discrete phase shifts of the RIS elements are optimized\nalong with the beamforming matrices at the transmitter and the relay, targeting\nthe minimization of the total transmit power subject to a quality-of-service\n(QoS) constraint. Then, two suboptimal efficient solutions are proposed for the\nresulting discrete and non-convex problem, one based on singular value\ndecomposition (SVD) and uplink-downlink duality and the other is based on SVD\ncombined with zero-forcing. Simulations show that the proposed solutions\noutperform a system with either a relay or an RIS only, especially when both\nare closer to the users than to the base-station.\n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".