Symmetric Turbo Coded OFDM System for Multi-relay Coded-Cooperative Wireless Communication under Wideband Noise Jamming Environment
Bibliographic record
Abstract
This research study proposes a novel anti-jamming technique based on a distributed symmetric Turbo coded orthogonal frequency division multiplexing (DSTC-OFDM) scheme for coded-cooperative wireless communication under wideband noise jamming environment.As a suitable benchmark for comparison, a conventional symmetric Turbo coded OFDM (STC-OFDM) scheme for non-cooperative wireless communication is also simulated and analyzed under the same jamming environment.The prime modulation technique employed is binary phase-shift keying while the decoding algorithm used is log maximum a-posteriori probability algorithm.The STC-OFDM (non-cooperative) scheme is compared to the DSTC-OFDM (coded-cooperative) scheme over the stated models of wireless communication channels under the same circumstances and noise jamming environment.According to Monte Carlo simulation results, the DSTC-OFDM scheme outperforms the STC-OFDM scheme by a gain that ranges between 1-7 dB for different values of jamming-to-signal ratio in the high SNR simulated region under the same conditions, i.e., the code rates Rc=1/3 and data frame lengths l=512 data bits for both the proposed schemes.However, in the low SNR simulated region, the STC-OFDM scheme shows similar performance as the DSTC-OFDM scheme, under identical conditions.The proposed DSTC-OFDM scheme is further explored in coded-cooperation with multiple relays and the best relay selection technique under the jamming environment over a multipath frequency-selective Rayleigh fading channel.
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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 | 0.001 | 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".