Femtocell networks: Breaking the complexity of centralized processing with novel dual-stage receivers
Bibliographic record
Abstract
In this paper, we consider femtocell networks and focus on interference mitigation in a novel framework referred to as FemtoWoC architecture (Wireless over Cable architecture for femtocells) [1]. This framework enables centralized processing (joint decoding) of multiple femto base stations at a central place termed as femto control station (FCS). The full blown up maximum likelihood centralized decoding at FCS will go beyond any acceptable limits. This paper proposes a novel dual-stage receiver architecture which achieves the tradeoff of centralized processing (joint decoding) and complexity. The basic idea is two folds, i.e. using some linear processing to reduce the dimension of the femtocell system followed by some nonlinear processing to exploit dominant interferences. The resultant multi-stage receiver is characterized by the performance closer to that of an optimal receiver but with much less complexity.
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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".