Paper Info
Title
Throughput enhancement of cognitive radio networks‐nonorthogonal multiple access with energy harvesting and adaptive transmit power
Abstract
AbstractAbstractIn this article, we derive the theoretical throughput of cognitive radio networks using nonorthogonal multiple access with energy harvesting nodes. We also optimize both power allocation coefficients and harvesting duration to maximize the throughput. In the primary network, there are a primary source and a primary destination. The secondary network contains a secondary source, K relays Rk, and N nonorthogonal multiple access users Di. Secondary source and relays harvest energy from radio frequency signals received from node A. Secondary nodes adapt their powers to generate low interference at primary destination. We also suggest two strategies for user classification using average or instantaneous channel gains while taking into account the interference from primary source. We show that users' ranking using instantaneous channel gains offers the largest throughput. In addition, the suggested optimal power allocation and optimal harvesting duration allow to increase the throughput. Our theoretical derivations are also compared with computer simulations performed in the presence of Rayleigh fadingchannels.System model for CR‐NOMA View Figure
Year
DOI
Venue
2020
10.1002/ett.3980
Periodicals
DocType
Volume
Issue
Journal
31
8
ISSN
Citations 
PageRank 
2161-3915
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Raed Alhamad100.34
Hatem Boujemaa216655.94