Nonorthogonal multiple access with adaptive transmit power and energy harvesting using intelligent reflecting surfaces for cognitive radio networks

In this paper, we derive the throughput of cognitive radio networks (CRN) where the secondary source S S harvests energy and adapts its power to generate an interference at primary destination P D less than T . S S transmits a linear combination of symbols to K nonorthogonal multiple access (NOMA) u...

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Bibliographic Details
Published in:Signal, image and video processing image and video processing, 2023-02, Vol.17 (1), p.83-89
Main Author: Alhamad, Raed
Format: Article
Language:English
Subjects:
Cognitive radio
Computer Imaging
Computer Science
Energy harvesting
Image Processing and Computer Vision
Multimedia Information Systems
Nonorthogonal multiple access
Original Paper
Pattern Recognition and Graphics
Reconfigurable intelligent surfaces
Reflectors
Signal,Image and Speech Processing
Vision
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Summary:In this paper, we derive the throughput of cognitive radio networks (CRN) where the secondary source S S harvests energy and adapts its power to generate an interference at primary destination P D less than T . S S transmits a linear combination of symbols to K nonorthogonal multiple access (NOMA) users. Intelligent reflecting surfaces (IRS) are placed between the secondary source and NOMA users. A set I i of reflectors of IRS is dedicated to user U i so that all reflections are in phase at U i . We derive the throughput at each user and the total throughput when IRS are used in CRN-NOMA. We optimize the NOMA powers as well as the harvesting duration α . When N i = 8 , 32 reflectors per user are employed, we obtain 24 and 41 dB gain with respect to CRN-NOMA with adaptive transmit power, energy harvesting and without IRS.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-022-02206-2