A Distributed Framework with a Novel Pricing Model for Enabling Dynamic Spectrum Access for Secondary Users
Bibliographic record
Abstract
Wireless Service Providers (WSPs) aim to maximize the revenue from their investment in spectrum lease and infrastructure. In this paper, we present a simple model for enabling temporary wireless access for Secondary (unsubscribed) Users (SUs) along with Primary (subscribed) Users (PUs) to the same Base Station (BS), allowing SU access provided there is unutilized spectrum available at the BS after all the PUs have been served. We develop a distributed framework focusing on the efficient utilization of the spectrum leased by a WSP, in contrast to the centralized approach based on spectrum/spectrum information pooling prominent in literature. This paper includes a detailed signaling framework along with a novel Differentiated Service Code Point (DSCP) based mechanism for distinguishing PUs from SUs at the BS. A novel incentive based pricing model for SUs with an inherent property of resource management at the BS is proposed along with a criterion for autonomous network selection at the SU terminal and a SU terminal initiated price based handoff scheme. The distributed approach proposed in this paper, provides a framework for a single WSP to maximize its profits by allowing SU access, without the need for coordination with other WSPs through a centralized mediating entity.
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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 | 0.001 | 0.001 |
| 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".