Scattered-pilot channel estimation for GFDM
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Bibliographic record
Abstract
This work presents the channel estimation for Generalized Frequency Division Multiplexing (GFDM). GFDM can be considered as a filtered bank multicarrier scheme, where a spectrally-contained pulse shaping is applied over each subcarrier to reduce out of band radiation (OOB). However, due to pulse shaping, subcarriers in GFDM are no longer orthogonal and there is inherent interference. Due to such interference, the channel estimation for GFDM is not trivial. In this work, two channel estimation methods for GFDM are proposed, 1) Pilot Interference Cancellation (Pilot-IC) where interference is pre-canceled only at pilot symbols, 2) Transmitter IC (Tx-IC) where interference is pre-cancelled at both data and pilot symbols. With scattered pilots over frequency and time grid, this allows frequency selective and time varying fading channels to be estimated, with reduced overhead. The simulation results show that these two methods can provide the same MSE performance. Moreover, the Pilot-IC pairing with a Zero Forcing (ZF) receiver, and the Tx-IC pairing with a simple Matched Filter (MF) receiver, also provide the same BER performance. Hence, it is possible to cancel the interference either at the transmitter or the receiver.
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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 | 0.000 | 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 it