Distributed turbo coded cooperative networks under imperfect channel state information in Rayleigh fading channels

2013 ◽  
Vol 7 (10) ◽  
pp. 973-979 ◽  
Author(s):  
Haithem Ben Chikha ◽  
Marion Berbineau ◽  
Iyad Dayoub
Keyword(s):  
Fading Channels ◽  
Channel State Information ◽  
Rayleigh Fading ◽  
Cooperative Networks ◽  
Rayleigh Fading Channels ◽  
Imperfect Channel State Information ◽  
Channel State ◽  
State Information

scholarly journals On the Performance of Energy Harvesting Non-Orthogonal Multiple Access Relaying System with Imperfect Channel State Information over Rayleigh Fading Channels

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3327 ◽  
Author(s):  
Tran Manh Hoang ◽  
Nguyen Le Van ◽  
Ba Cao Nguyen ◽  
Le The Dung
Keyword(s):  
Energy Harvesting ◽  
Fading Channels ◽  
Channel State Information ◽  
Multiple Access ◽  
Rayleigh Fading ◽  
Imperfect Channel State Information ◽  
Amplify And Forward ◽  
Channel State ◽  
State Information ◽  
Relaying System

In this paper, we propose a non-orthogonal multiple access (NOMA) relaying system, where a source node communicates simultaneously with multiple users via the assistance of the best amplify-and-forward (AF) relay. The best relay is selected among N relays which are capable of harvesting the energy from radio frequency (RF) signals. We analyze the performance of the proposed NOMA relaying system in the conditions of imperfect channel state information (CSI) and Rayleigh fading by deriving the exact expressions of the outage probability (OP) and the approximate expression of the ergodic capacities of each user and the whole system. We also determine the optimal energy harvesting duration which minimizes the OP. Numerical results show that, for the same parameter settings, the performance of the proposed NOMA relaying system, especially the ergodic capacity of the whole system, outperforms that of the orthogonal-multiple-access (OMA) relaying system. Monte-Carlo simulations are used to validate the correctness of the analytical results.

Sign in / Sign up

Export Citation Format

Share Document