Impact of Radio Irregularities on Connectivity of Wireless Networks with Log-Normal Shadowing

Author(s):  
Lixin Wang ◽  
William Washington ◽  
Katrina Gilmore ◽  
Chuang Liu
Keyword(s):  
2013 ◽  
Vol 17 (9) ◽  
pp. 1738-1741 ◽  
Author(s):  
Aris S. Lalos ◽  
Marco Di Renzo ◽  
Luis Alonso ◽  
Christos Verikoukis

2015 ◽  
Vol 21 (7) ◽  
pp. 2279-2292 ◽  
Author(s):  
Lixin Wang ◽  
Peng-Jun Wan ◽  
William Washington

2021 ◽  
Vol 27 (3) ◽  
pp. 78-83
Author(s):  
Hoang Thien Van ◽  
Quyet-Nguyen Van ◽  
Danh Hong Le ◽  
Lukas Sevcik ◽  
Nguyen Hoang Duy ◽  
...  

Due to the development of state-of-the-art fifth-generation communication (5G) and Internet-of-Things (IoT), the demands for capacity and throughput of wireless networks have increased significantly. As a promising solution for this, a radio access technique, namely, non-orthogonal multiple access (NOMA) has been investigated. Particularly, in this paper, we analyse the system performance of a joint time allocation and power splitting (JTAPS) protocol for NOMA-based energy harvesting (EH) wireless networks over indoor scenarios, which we modelled with log-normal fading channels. Accordingly, for the performance analysis of such networks, the analytical expression of a metric so-called “ergodic outage probability” was derived. Then, thanks to Monte Carlo simulations done in Matlab, we are able to see how different EH power splitting (PS) and EH time switching (TS) factors influence the ergodic outage probability. Last, but not least, we plot the simulation results along with the theoretical results for comparison studies.


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