Integrated Broadband Powerline and Visible Light Communication (VLC) using OFDM and Turbo Coding
Bibliographic record
Abstract
This paper is focused on the communication scheme and its integration of Power Line Communication (PLC) and Visible Light Communication (VLC) systems. As the power line communication is becoming more popular in the last mile and home networking. In order to make the Power Line Communication (PLC) based networks more practical by having mobility at the last inch connectivity the VLC can be utilised. Some work has been done in the area of using power line for communications but these systems suffer from noise, inter symbol interference (ISI), and distortion. Most of the current proposed integrated systems are through Direct Sequence Spread Spectrum (DSSS) and OFDM techniques, where they are considered as candidates for future broadband PLC networks. Our work is different in a sense that it is incorporating turbo codes in the integrated system to increase the system robustness to noise, ISI and distortion. The signal data to be transmitted will be connected through the Power Line modulator which is connected to the wall socket. The PLC modulator is then connected to the VLC modulator for the transmission of the signal in the air. At the receiver side however, the transmitted signal is then received through the VLC demodulator followed by the PLC demodulator. By introducing the turbo coder and decoder we were able to achieve a better performance for the integrated system to noise, ISI, and distortion. The performance of the system was measured through comparing the BER rate for the system with and without the turbo codes. The BER rate was also measured with respect to the signal to noise ratio, and data rate. Simulation results using Matlab was conducted to show the systems performance towards noise and other factors. A practical implementation for the PLC was assembled to better support the simulation results.
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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 | 0.001 | 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 | 0.002 |
| 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 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".