On the Need for Coordination Among Base Stations in a Heterogeneous Network
Bibliographic record
Abstract
Abstract—In this paper, we study the impact of different resource allocation schemes, transmission coordination mechanisms among base stations, and user association rules in the context of the downlink of a heterogeneous network comprising of a macro base station overlaid with a pool of low-power pico base stations. We formulate flow-based models for the joint optimization of resource allocation, user association, user scheduling and transmission coordination under a proportional fair throughput objective for two types of resource allocation, i.e, Full Sharing (FS) and Channel Splitting (CS), and two types of transmission coordination, i.e., no coordination and ON-OFF coordination. Our formulations allow us to obtain exact solutions for small to medium sized networks. The numerical results show that the performance of FS without transmission coordination among BSs is much worse than CS without coordination. However, FS with our coordination mechanism performs as well as CS with coordination. Interestingly, FS and CS with coordination do not perform much better than CS without coordination. Our study provides a message that we might not need to go for the complexity of transmission coordination among BSs depending upon the resource allocation scheme. I.
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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 | 0.000 |
| 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 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".