TELKOMNIKA Telecommunication, Computing, Electronics and Control
An optimized power allocation algorithm for cognitive radio NOMA communication
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
An optimized power allocation algorithm for cognitive radio NOMA communication
An optimized power allocation algorithm for cognitive radio NOMA communication
Subject
Cognitive radio
Interweave sharing
NOMA
Successive-interference
cancellation
Superposition-coding
Underlay sharing
Interweave sharing
NOMA
Successive-interference
cancellation
Superposition-coding
Underlay sharing
Description
The primary objective of cognitive radio network is to effectively utilize the
unused spectrum bands. In cognitive radio networks, spectrum sharing
between primary and secondary users is accomplished using either underlay
or interweave cognitive radio approach. Non orthogonal multiple access
(NOMA) is the proven technology in the present wireless developments,
which allows the coexistence of multiple users in the same orthogonal block.
The new paradigm cognitive radio NOMA (CR-NOMA) is one of the
potential solutions to fulfill the demands of future wireless communication.
This paper emphasizes on practical implementation of NOMA in cognitive
radio networks to enhance the spectral efficiency. The goal is to increase the
throughput of the secondary users satisfying the quality of service (QOS)
requirements of primary users. To achieve this, we have presented the
optimized power allocation strategy for underlay downlink scenario to
support the simultaneous transmission of primary and secondary users.
Furthermore, we have proposed QOS based power allocation scheme for
CR-NOMA interweave model to support the coexistence of multiple
secondary networks. Also, the changes adopted in implementing
superposition coding (SC) and successive interference cancellation (SIC) for
CR-NOMA are highlighted. Finally, simulation results validate the
mathematical expressions that are derived for power allocation coefficient
and outage probability.
unused spectrum bands. In cognitive radio networks, spectrum sharing
between primary and secondary users is accomplished using either underlay
or interweave cognitive radio approach. Non orthogonal multiple access
(NOMA) is the proven technology in the present wireless developments,
which allows the coexistence of multiple users in the same orthogonal block.
The new paradigm cognitive radio NOMA (CR-NOMA) is one of the
potential solutions to fulfill the demands of future wireless communication.
This paper emphasizes on practical implementation of NOMA in cognitive
radio networks to enhance the spectral efficiency. The goal is to increase the
throughput of the secondary users satisfying the quality of service (QOS)
requirements of primary users. To achieve this, we have presented the
optimized power allocation strategy for underlay downlink scenario to
support the simultaneous transmission of primary and secondary users.
Furthermore, we have proposed QOS based power allocation scheme for
CR-NOMA interweave model to support the coexistence of multiple
secondary networks. Also, the changes adopted in implementing
superposition coding (SC) and successive interference cancellation (SIC) for
CR-NOMA are highlighted. Finally, simulation results validate the
mathematical expressions that are derived for power allocation coefficient
and outage probability.
Creator
Madan H. T., P. I. Basarkod
Source
http://journal.uad.ac.id/index.php/TELKOMNIKA
Date
Mar 17, 2021
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
Madan H. T., P. I. Basarkod, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
An optimized power allocation algorithm for cognitive radio NOMA communication,” Repository Horizon University Indonesia, accessed November 24, 2024, https://repository.horizon.ac.id/items/show/4118.
An optimized power allocation algorithm for cognitive radio NOMA communication,” Repository Horizon University Indonesia, accessed November 24, 2024, https://repository.horizon.ac.id/items/show/4118.