Indoor SDMA capacity using a smart antenna base station
Why this work is in the frame
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Bibliographic record
Abstract
In this paper we consider the capacity of a set of portable stations sharing a single indoor radio channel. The stations communicate with a base station which is equipped with a smart antenna operating in multibeam SDMA/FDMA mode, Both theoretical models and measured data from an experimental testbed are presented. The experimental system operates at 1.86 GHz and uses an 8 element circular antenna array. This system was built at the Communications Research Laboratory at McMaster University. The paper focuses on the static TDMA network capacity of this system. In particular, we explore the value of performing dynamic slot assignment when constructing the SDMA/TDMA frames. Slot assignment algorithms are introduced which are capable of increasing static system capacity under non-ideal propagation situations. In all cases, optimal SINR beamforming is used to determine the performance of the system. The results presented give clear insights into the network capacity possible in such systems and indicate the value of dynamic slot assignment under time division duplex operation. The results can also be used to motivate the design of media access protocols for these types of networks.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.005 | 0.001 |
| 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 it