## 7 Conclusions  
The growing demand for health monitoring devices, i.e., recording motion parameters or providing multimedia content, has contributed to the significant development of radio networks working within the human body or in its proximity. It applies directly to the evolution of WBANs, which is currently the major direction of modern 5G radio communication networks development, and (apart from medicine) are widely used in the entertainment, marketing, and security. To design \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**MN LOCATION**} & \multirow{2}{*}{**SCENARIO**} & \multirow{2}{*}{**LOS/NLOS Conditions**} & \multicolumn{2}{c}{**868 MHz NB**} & \multicolumn{2}{c}{**6489 MHz UWB**} \\ \cline{3-8}  & & & **SEE (dB)** & **ME (dB)** & **SEE (dB)** & **ME (dB)** \\ \hline \multirow{4}{*}{HE\({}_{\text{R}}\)} & \multirow{2}{*}{APR} & LOS & 7.3 & \(-1.0\) & 4.9 & \(-0.4\) \\  & & NLOS & 7.3 & \(-1.1\) & 6.1 & \(-0.5\) \\ \cline{2-8}  & & & LOS & 6.6 & \(-0.9\) & 6.4 & \(-0.6\) \\  & & & NLOS & 7.0 & \(-0.9\) & 6.5 & \(-0.7\) \\ \hline \multirow{4}{*}{TO\({}_{\text{F}}\)} & \multirow{2}{*}{APR} & LOS & 6.0 & \(-0.7\) & 5.2 & \(-0.3\) \\  & & & NLOS & 6.6 & \(-0.9\) & 6.2 & \(-0.6\) \\ \cline{2-8}  & & & LOS & 6.2 & \(-0.9\) & 5.3 & \(-0.6\) \\  & & & NLOS & 7.2 & \(-1.0\) & 6.8 & \(-0.8\) \\ \hline \multirow{4}{*}{AB\({}_{\text{L}}\)} & \multirow{2}{*}{APR} & LOS & 6.1 & \(-0.9\) & 6.1 & \(-0.5\) \\  & & NLOS & 7.2 & \(-1.0\) & 7.0 & \(-0.7\) \\ \cline{2-8}  & & & LOS & 6.7 & \(-0.9\) & 6.1 & \(-0.6\) \\ \cline{2-8}  & & & NLOS & 7.2 & \(-0.9\) & 7.0 & \(-0.7\) \\ \hline \hline \end{tabular}
\end{table} 
Table 6: A statistical analysis of accuracy of the developed model for all measurement scenarios. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{4}{c}{**Model Parameters for 868 MHz NB Channel**} \\ \hline \hline  & \(n\) & \(\overline{L_{\text{S}}(\mathbf{d_{0}})}\) & \({  
such systems, it is very important to have an accurate radio channel model, especially when they are supposed to work in harsh environments. In the article, the off-body NB and UWB system loss model for WBANs in a ferryboat environment is described. A mobile heterogeneous measurement equipment, which consists of three devices: miniaturized MN, stationary RN, and a DAS, was developed. The time-synchronized RDMs, implemented in the UWB interface, are a novel approach to system loss measurements and they enable one to automatize the measurement process and simplify the data analysis. Dynamic scenarios corresponding to a typical human behavior in an indoor environment were considered, where the lack of direct antenna visibility conditions, due to the presence of structural elements of the environment, were distinguished. A detailed analysis of both radio channels' parameters was carried out. An analysis of the system loss distributions, SLE, MSL, large-scale fading corresponding to body shadowing and small-scale fading associated with the multipath phenomenon both for the NB and UWB channels was performed. The obtained SLE values are in the range of [0.16; 3.8] for the NB channel, and [0.13; 3.46] for the UWB one. The lower values correspond to the LOS and the higher ones to the NLOS conditions. In addition, the MSL values at the reference distance for the NB channel, being in [64.7; 76.2], are much higher than in the UWB one, i.e., in [23.4; 30.7]. This is due to the transmission techniques, body influence, used antennas, and the impact of the environment. The lognormal distribution is indicated as the best model for large- and small-scale fading, regardless of the MN placement. The large-scale fading mean value is in the range of [\(-\)0.4; 0], and the standard deviation is in [0.8; 2.6] for the NB channel, while these ranges are, respectively, [\(-\)0.3; \(-\)0.17] and [1.3; 2.8], for the UWB one.