Cognitive GFDM Full-Duplex Radios With RF Impairments and ACI Constraints
Bibliographic record
Abstract
We investigate the problem of sum-rate maximization of a secondary link of full-duplex generalized frequency division multiplexing (GFDM) radios operating over a spectrum hole, which is surrounded by two active primary adjacent channels. Thus, the secondary transmissions must be below an adjacent channel interference (ACI) threshold. In-band distortions and several interference terms are also caused by phase noise, in-phase (I) and quadrature (Q) imbalance, carrier frequency offset (CFO) and the nonlinear power amplifier (PA). Analog domain and digital domain self-interference (SI) cancellation is also considered. We study the two cases of two independent oscillators for local transmitter and receiver and one common shared oscillator. We derive the powers of residual SI, desired signal, interference signal and noise, signal-to-interference-plus noise ratio (SINR) and the power spectral density (PSD) of the transmit signal. By using successive convex approximations, we solve the sum-rate maximization problem. Finally, we show that in full-duplex radios under certain RF impairments, GFDM may double the sum rate compared to that of orthogonal frequency division multiplexing (OFDM).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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".