## 4 Simulation Results  
In this section, the simulation results in this paper are given to demonstrate the effectiveness of the proposed method. The error correction code selected is Turbo code, with the coding rate of \(1/3\) and the number of overlapping layers \(K=3\). At the receiver side, the number of iterations for SIC detection is 3. Other specific simulation parameters are listed in Table 1.  
By examining the details presented in Figure 4, we observe a significant difference in PAPR between the original OvTDM-modulated signal and the signal undergoing the clipping procedure. This result illustrates the impact of clipping on the signal's peak power, emphasizing the effectiveness of this technique in managing the PAPR.  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Parameter** & **Value** \\ \hline Modulation scheme & BPSK \\ Number of layers & 3 \\ Data length & 1000 \\ Encoding/rate & Turbo 1/3 \\ Symbols per layer & 3010 \\ FTN Accelerating factor (\(\tau\)) & 0.8 \\ \hline \hline \end{tabular}
\end{table}
Table 1: Parameters of the OvTDM system.  
Figure 4: PAPR of the signal with different clipping ratios.  
Moving on to Figure 5, we delve into the intricate relationship between the signal accelerating factor \(\alpha\) and various clipping ratios. As the clipping ratio increases, indicating a more aggressive clipping process, the PAPR of the signal notably decreases. This reduction is promising, suggesting improved signal quality in terms of decreased peak power. However, it is essential to note that this reduction in PAPR comes at the cost of a diminishing \(\alpha\) value.  
The declining \(\alpha\) value indicates an increase in signal interference, highlighting a trade-off between PAPR reduction and the interference introduced by the clipping process. Achieving an optimal balance between PAPR reduction and acceptable interference levels is crucial for efficient signal transmission and reception in the given system.  
Figures 6 and 7 offer a comprehensive view of the bit error rate (BER) performance for OvTDM, showcasing the impact of different iterative detection methods. Graphically illustrating the gain observed in our proposed iterative detection scheme with CR set at 0 dB and 3 dB in Figures 6 and 7, the application of amplitude clipping does lead to a considerable deterioration in BER performance. Nonetheless, our devised methodology effectively mitigates this decline.  
Through the synergistic implementation of soft iteration and noise reconstruction, we have observed a noteworthy performance improvement of approximately 0.4-0.6 dB, showcasing the compensatory prowess of the proposed approach. The discernible trend reveals the promising potential of the proposed modified iterative detection algorithm, underscoring its effectiveness in significantly enhancing the BER performance when compared to the original detection method. Furthermore, the soft compensation iterative detection approach exhibits a marginal advantage over the direct reconstruction of clipping noise iterative detection. While there is a nuanced difference, overall, both approaches demonstrate comparable performance.  
The iterative strategy implemented on the receiver side, from a cornerstone of this study, gives an accurate estimation and reconstruction of the clipping noise during signal detection of OvTDM. This reduction is pivotal for ensuring reliable transmission in high-speed systems, effectively balancing the imperative of PAPR suppression with the need  
Figure 5: Values of \(\alpha\) under different clipping ratios.  
for a resilient and dependable communication channel. Thus, when applying OvTDM, the quest for efficient and robust high-speed data transmission with controlled PAPR is made attainable.  
Figure 6: BER performance comparison when \(K=3\) under Gaussian channel with method in [18]  
Figure 7: BER performance comparison when \(K=3\) under TDL-C channel with method in [18].