Single-Cell vs. Multicell MIMO Downlink Signalling Strategies with Imperfect CSI
Bibliographic record
Abstract
This paper considers multi-antenna downlink communication with base stations (BSs) that perform joint transmitter null-space decomposition (JT-decomp) and conventional single-cell linear precoding strategies under imperfect channel state information (CSI). Upper bounds for the rate loss of JT-decomp precoding and conventional cellular systems are first provided, which demonstrate that unlike conventional systems, the percentage rate loss of JT-decomp cooperative base station (BS) system decreases as signal-to-noise ratio (SNR) increases. This shows that JT-decomp precoding, in spite of the imperfect CSI, preserves its spatial multiplexing gain at high SNR. Accurate closed-form analytical expressions for the net ergodic achievable rate and the rate loss under erroneous CSI of the JT-decomp cooperative BS system are also derived.
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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".