Distributed Multiple Access for the Uplink of Multi-cell OFDMA Networks
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
With the global deployment of the 4G (4th generation) wireless networks, it is expected that in the near future wireless data services will account for most of the traffic in the cellular networks. These data services may be characterized by highly diversified QoS (Quality of Service) requirements such as delay, data rate, and reliability. It may not be a good approach to use the current BS (Base Station)-centric scheduling as the universal scheduling method for all kinds of data services. Besides, centralized scheduling will require a substantial amount of overhead when the number of wireless devices is very large, due to the fact that in centralized scheduling the BSs need to collect the CSI (Channel State Information) of these devices to make appropriate decisions. This may be very challenging at BSs especially when the channel coherence time is low. Therefore, in this thesis we explore a distributed scheduling method for the next-generation cellular networks, in which the scheduling decisions are performed jointly by the wireless devices and the BSs in order to reduce the complexity at the BSs and to reduce the protocol overhead in terms of the bandwidth dedicated for the control signalling.
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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 | 0.000 | 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 it