# Oceania's 5G Multi-Tier Fixed Wireless Access Link's Long-Term Resilience and Feasibility Analysis
## 3 5G Base Coverage Network Layout
### 5G Radio Channel Signal Analysis at Sava City
A variety of methods  
Figure 13: 5G urban link analysis of a non-line-of-sight in Suva City using the shooting and bouncing ray tracing method with various numbers of reflections, diffractions, and launched rays: (**a**) 5G small-cell transmitter antenna located at site location Lat, long\(-8.138916,178.426959\) at Suva City; (**b**) 5G transmitter antenna coverage map for a maximum range of 250 m from the base station at Suva City; (**c**) 5G signal propagation NLoS with two stronger clusters of propagation paths due to reflections; (**d**) Phased Array System radiation pattern optimally steering a beam to maximize received power for an NLoS. that can be applied in various temporal, frequency, and coding situations have been employed to increase the SNR. Propagation along a line of sight (LOS) is the fundamental component of a wireless channel. This style of waterway can be found in many rural areas. Antenna arrays in this situation can increase the bit error rate (BER) of the communication channel by increasing the SNR at the receiver. Figure 14 displays the bit error rate (BER) for binary phase shift keying (BPSK)-modulated single-input-single-output (SISO), multiple-input-single-output (MISO), single-input-multiple-output (SIMO), and MIMO communication systems. When compared to an SISO LOS channel, the energy-per-bit to noise power spectral density ratio \(E_{b}/N_{o}\) of the BER increases more slowly due to fading brought on by multipath propagation. In order to simulate the BER curve for a fading channel, it is necessary for the channel to vary over time. Let us assume that there are 1000 frames, each consisting of 10,000 bits. The baseline SISO multipath channel BER curve can then be constructed as shown in Figure 14c [63]. Spatial multiplexing splits the channel matrix into several modes so that the data stream can be recovered separately from the received signal. This is conducted by separating the transmit array elements from the received signal. Precoding the data stream before transmission and merging it after reception achieves this. By simply receiving a scaled version of the transmit array element, each receive array element behaves like a few orthogonal subchannels within the main channel. Since the dominant transmit and receive directions correspond to the first subchannel, there is no loss in diversity benefit. In the future, data for the first two subchannels will also be able to be transmitted over additional subchannels. Even if the second stream uses a subchannel that is less dominant and does not produce as much gain as the first stream, the overall information throughput is boosted. Sending data in an MIMO system makes the most sense when power is distributed equally among transmit units. The capacity of the channel can be further enhanced, though, if it is known at the transmitter. In this case, the transmitter can decide to restrict transmission to subchannels that, when filled to the specified SNR, can transmit [60]. The result confirms that the water fill algorithm provides a larger system  
\begin{table}
\begin{tabular}{c c c} \hline \hline \begin{tabular}{c} **Transmitter** \\ **Frequency** \\ \end{tabular}  & **Selected Parameters for 5G Small Cell** & **Values for 5G/Test Results** \\ \hline \multirow{8}{*}{ \begin{tabular}{c} **Transmitter** \\ **Frequency** \\ \end{tabular}  } & \begin{tabular}{c} Transmitter site location Lat, long \\ Antenna Height \\ Transmitter Power \\ \end{tabular}  & \ \begin{tabular}{c} \(-18.138916,178.426959\) \\ 5.00 watt \\ Receiver Site Lat Long in NLoS \\ Received power using perfect reflection \\ \end{tabular}  &
\begin{tabular}{c} \(10.00\) m \\ \(-39.3526\) dBm \\ \(-47.7206\) dBm \\ \(-47.7214\) dBm \\ \(-45.2816\) dBm \\ \(-44.3875\) dBm \\ \(-23.4449\) dBi \\ \(-46.1072\) dBm \\ \(-18.138916,178.426959\) \\ \(-10.00\) m \\ \(-50.00\) watt \\ \(-50.  
capacity than the uniform power distribution. The difference becomes less pronounced as the system-level SNR rises. The advantage of the array starts with an increase in SNR in the LOS channel.