Modeling and Analysis of Long-Term Average User Throughput in Mobile Ultra Dense Networks

Spatiotemporal correlation and joint coverage probability in ultra‐dense mobile networks

“…This section presents analytical results along with Monte‐Carlos simulations to illustrate the temporal correlation and joint coverage performance of the UDN with the RWP mobility model. The parameters considered for simulation are listed in Table 1 on the basis of References 15,23, and 30.…”

“…The attenuation in the wireless channel is modeled as the product of a large‐scale path‐loss component and a small‐scale fading component. The large‐scale path‐loss 15 is denoted by $$$ g\left({l}_k\right) $$$ as follows: $$$$ g\left({l}_k\right)=\frac{1}{\varepsilon +{\left\Vert {l}_k\right\Vert}^{\alpha }}, $$$$ where $$$ \alpha $$$ indicates the path‐loss exponent ranging from 2 to 4, and path‐loss parameter $$$ \varepsilon $$$ is employed to avoid $$$ \left\Vert l\right\Vert =0 $$$ causing singularity.…”

“…The attenuation in the wireless channel is modeled as the product of a large-scale path-loss component and a small-scale fading component. The large-scale path-loss 15 is denoted by g(l k ) as follows:…”

“…Although temporal correlation can significantly impact system performance, 15 efforts to investigate it have just begun recently. The research on the correlation of interference at different places and at different time‐slots starts from ad‐hoc network 16 .…”

Rancang Bangun dan Analisis QoS pada Sistem Informasi Penjualan Obat dengan Layanan Antar-Jemput Berbasis Android

“…Analisis Quality of Services (QoS) [6][7] [8] dilakukan untuk uji performansi jaringan dalam pengiriman data, pengujian dilakukan pada delay [9] [10], throughput [11] [12], packet loss [13]. QoS mengarah ke peforma jaringan pada trafik tertentu, pengukuran menggunakan aplikasi wireshark [14].…”