## 7 Performance Analysis and Discussion
Figure 5: System delay for 300 GHz and 16 \(\times\) 10\({}^{6}\) users. By more successfully directing signals into under served locations, the HRIS-DMA technique expands the service area using intelligent reflection and beamforming. Comparing the HRIS-DMA methodology to the traditional method, Figure 6 shows a significant improvement in the coverage area. The suggested approach, which uses dynamic adjustment and real-time position data, can ensure better connectivity for users in larger and more complicated contexts by covering a greater area with a stronger signal. On the contrary, the HRIS-DMA successfully managed to provide 99.5% coverage under the same conditions. This superiority highlights the importance of the proposed decision-making algorithm, whether the user is located in the transmission or reflection area. Also, it can be noticed that the BS-BS handover performance is moderate between the HRIS-DMA and the T/R RIS, with exactly 74% coverage; this, on the other hand, proves that the HRIS-DMA successfully outperformed the current state-of-the-art transmission approaches. Table 5 summarises the simulation results for the different frequencies used. Furthermore, as the communication system being tested operates in places with a significant number of users and obstacles, we identified and calculated the failed signal rate (FSR), which computes the total number of undelivered signals to users in regard to the total number of signals that were meant to be delivered to users. The results of this metric indicate that the HRIS-DMA outperformed the other approaches, as shown in Figures 7 and 8, for different user densities and THz frequencies. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Frequency (GHz)** & **HRIS-DMA** & **T/R RIS** & **BS-BS** \\ \hline
300 & 99.5\% & 26\% & 74\% \\ \hline
400 & 90\% & 9\% & 44\% \\ \hline
500 & 88.5\% & 17\% & 29\% \\ \hline \hline \end{tabular}
\end{table} 
Table 5: User coverage comparison. Figure 6: Comparative analysis of coverage area. First, we measured the FSR for different user densities in order to gain a clear idea of the HRIS-DMA performance stability. As shown in Figure 7, using the HRIS-DMA in the network with a user density of \(3\times 10^{6}\) under a 300 GHz operating frequency yields a 12 dB channel gain compared to the T/R RIS and BS-BS handover, where the performance of the T/R RIS relatively matches the performance of BS handover at the lowest density tested. In regard to a higher density level of \(9\times 10^{6}\) users, the HRIS-DMA and BS-BS handover approximately show the same performance, with only 1 dB channel gain achieved by the HRIS-DMA; oppositely, the channel gain achieved by the HRIS-DMA reached 13 dB compared to that for T/R RIS. As the HRIS-DMA performance should satisfy the requirement of 6G wireless generation, a higher density level must be considered, with a \(16\times 10^{6}\) user. Evidently, from Figure 7, as the density increased, the performance of both the T/R RIS and BS-BS handover dropped; in this regard, the achieved channel gain for HRIS-DMA reaches 25 dB with regard to the T/R RIS. These promising results motivate the analysis of the HRIS-DMA performance for 400 and 500 GHz, which is shown in Figure 8.  
Iterative updates to the HRIS configuration, which are influenced by the user's location, contribute to the maintenance of robust and consistent signal connections. The HRIS-DMA methodology has a decreased FSR compared to the conventional method, as Figures 7 and 8 demonstrate. The signal path is controlled dynamically and precisely to maintain consistent signal quality and robustness, even in difficult conditions, thus minimising the chances of signal failures. It is evident from Figure 8 that the HRIS-DMA has an excellent stable performance compared to the T/R RIS and BS-BS handover, achieving 26 dB and 8 dB channel gain, respectively. Achieving stable ideal performance in wireless communication is crucial to ensuring a consistent and satisfactory user experience.