Network-Coded Cooperative MIMO with Outdated CSI and CCI
Bibliographic record
Abstract
We study the effect of outdated channel state information (CSI) and co-channel interference (CCI) on the performance of relay selection (RS) network-coded cooperative (NCC) multiple-input multiple-output (MIMO) systems. Specifically, we consider a RS MIMO-NCC system where N single-antenna sources communicate with one multiple-antenna destination using M decode-and-forward (DF) multiple-antenna relays. The destination selects K best relays according to the quality of relay-destination channels. The selected relays apply network coding (NC) on the received sources' symbols using network code coefficients based on maximum distance separable (MDS) codes. The exact closed-form outage probability (OP) of the system is derived. The asymptotic high signal-to-noise ratio (SNR) OP is also obtained, through which the diversity order and the coding gain are found. Numerical results are further presented to illustrate the adverse effect of outdated CSI and CCI on the system performance and to validate the accuracy of our analysis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".