## 6 Results and Discussion
### LPN with DBS Architecture  
The architecture of the DBS network proposes an efficacious method to augment network coverage within the mmWave band. The DBS approach uses dispersed RRHs as a compensation measure for the escalated path loss occurring at mmWave frequencies. By positioning RRHs in closer proximity to end users, the signal pathway and corresponding path loss are minimized. This strategy enhances spectral efficiency and fosters a more equitable allocation of resources [51; 56]. Furthermore, the DBS architecture holds the potential to amplify LoS signal coverage through the strategic spatial distribution of remote antennas, embodied in RRHs. The dispersed configuration of RRHs mitigates the effect of shadow fading, facilitating a larger proportion of UEs to maintain LoS connectivity, as delineated in Table 4. In the corresponding simulation, 1100 UEs were deployed to contrast the coverage and outage probability metrics of DBS and CBS architectures. Figure 11: Path loss (dB) for mMIMO and DBS base station. Figure 12: IEEE C 95.1-2005 power density for massive MIMO. In this study, an LPN with a transmit power of 30 dBm in a DBS network architecture is compared with the massive MIMO architecture. Three RRHs are employed in the DBS scheme to provide a coverage solution. In the DBS network, the RRHs can be powered with green energy sources, promoting a cleaner and more sustainable 6G network. The DBS architecture exhibits significantly reduced received power without compromising the QoS provision. Table 4 demonstrates an improvement in the probability of coverage in the DBS network. The transmit power is distributed over three RRHs as well as the BBU. Therefore, the power density is substantially decreased, and no reports of increased radiation are observed in the DBS system. Figure 13 illustrates the average power density with respect to distance; the results are averaged for all distributed RRHs in the area of interest. The MPE of the aggregated signal power density does not pose hazard figures, alleviating potential concerns related to radiation exposure. The DBS architecture, with its distributed RRHs and reduced power density, proves to be a promising solution for achieving efficient mmWave network coverage while ensuring compliance with safety regulations and environmental considerations. The implementation of the DBS architecture has successfully achieved a reduction in radiation exposure without compromising the overall network performance. To demonstrate the performance of both the traditional CBS and DBS networks, a system-level simulation tool was utilized in the 26 GHz \"pioneer band\" (a frequency band from 24.25 up to 27.5 GHz), specifically designed for high data throughput applications and services, released by Ofcom--London, UK. In the system-level simulation, the advantages of the DBS over the CBS architecture were further analyzed. The simulation results illustrate that the DBS architecture exhibits superior spectral efficiency compared to the CBS network. This improvement can be attributed to the distribution of RRHs in the designated areas, thereby enhancing the signal path gain. As a result, the DBS network achieves better spectral efficiency, leading to an enhanced user experience in terms of average user throughput, as shown in Figures 14 and 15. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Network Type** & **HPN–CBS** & **LPN–DBS** \\ \hline All UEs & 1000 & 1000 \\ LOS + NLOS & 880 & 968 \\ Outage UEs & 120 & 32 \\ Prob. of Coverage & 88\% & 96.8\% \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Coverage probability of HPN and LPN. Figure 13: IEEE C 95.1-2005 MPE—DBS architecture. These figures show the Cumulative Distribution Function (CDF) of spectral efficiency and data throughput, respectively. The improved spectral efficiency and enhanced user throughput in the DBS environment highlight the potential benefits of this architecture in high data rate demand scenarios.