Self-Interference Channel Characterization for Wideband 2 × 2 MIMO Full-Duplex Transceivers Using Dual-Polarized Antennas
Bibliographic record
Abstract
This paper presents an investigation of the wideband self-interference (SI) channel characteristics of a 2×2 multiinput multi-output full-duplex transceiver using dual-polarized antennas. The measured SI channel power delay profiles at 2.45 GHz with 500 MHz span in various environments, anechoic chamber, laboratory room, and corridor, reveal that the SI channel can be represented by a multipath model consisting of two components: a quasi-static internal SI subchannel due to the specific Tx/Rx antenna structure and a time-varying external SI subchannel due to possible reflections from the surrounding environment. The quasi-static internal SI subchannel parameters can be derived from the Tx/Rx antenna structure specifications. The time-varying external SI channel exhibits cluster arrival features and can be represented by a modified Saleh-Valenzuela model with lognormal-distributed taps, and the cluster power exponentially decays with cluster arrival delay. However, the path power-versus-arrival-delay decay is exponential in a laboratory-room environment while it follows the power law in a corridor environment. The SI channel coherence bandwidth and delay spread in all three measurement environments follow normal and lognormal distributions, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".