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

2015 ◽  
Author(s):  
Lixin Wang ◽  
William Washington ◽  
Katrina Gilmore ◽  
Chuang Liu
Keyword(s):  
Wireless Networks ◽  
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Impact of Correlated Log-Normal Shadowing on Two-Way Network Coded Cooperative Wireless Networks

2013 ◽  
Vol 17 (9) ◽  
pp. 1738-1741 ◽  
Author(s):  
Aris S. Lalos ◽  
Marco Di Renzo ◽  
Luis Alonso ◽  
Christos Verikoukis
Keyword(s):  
Wireless Networks ◽  
Cooperative Wireless Networks ◽  
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scholarly journals Connectivity of multihop wireless networks with log-normal shadowing

2015 ◽  
Vol 21 (7) ◽  
pp. 2279-2292 ◽  
Author(s):  
Lixin Wang ◽  
Peng-Jun Wan ◽  
William Washington
Keyword(s):  
Wireless Networks ◽  
Multihop Wireless Networks ◽  
Multihop Wireless ◽  
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scholarly journals Threshold-based Wireless-based NOMA Systems over Log-Normal Channels: Ergodic Outage Probability of Joint Time Allocation and Power Splitting Schemes

2021 ◽  
Vol 27 (3) ◽  
pp. 78-83
Author(s):  
Hoang Thien Van ◽  
Quyet-Nguyen Van ◽  
Danh Hong Le ◽  
Lukas Sevcik ◽  
Nguyen Hoang Duy ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Outage Probability ◽  
Fading Channels ◽  
Time Allocation ◽  
Power Splitting ◽  
Fifth Generation ◽  
Radio Access ◽  
Promising Solution ◽  
Indoor Scenarios ◽  
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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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