Dynamic Spectrum Access for RF-powered Ambient Backscatter Cognitive Radio Networks

Ahmed Zakariya, Ahmed Zakariya, Sherif Rabia, Sherif Rabia, Waheed Zahra, Waheed Zahra

2021

Abstract

In RF-powered backscatter cognitive radio networks, while the licensed channel is busy, the SU can utilize the primary user signal either to backscatter his data or to harvest energy. When the licensed channel becomes idle, the SU can use the harvested energy to actively transmit his data. However, it is crucial for the secondary user to determine the optimal action to do under the dynamic behavior of the primary users. In this paper, we formulate the decision problem as a Markov decision process in order to maximize the average throughput of the secondary user under the assumption of unknown environment parameters. A reinforcement learning algorithm is attributed to guide the secondary user in this decision process. Numerical results show that the reinforcement learning approach succeeds in providing a good approximation of the optimal value. Moreover, a comparison with the harvest-then-transmit and backscattering transmission modes is presented to investigate the superiority of the hybrid transmission mode in different network cases.

Paper Citation

in Harvard Style

Zakariya A., Rabia S. and Zahra W. (2021). Dynamic Spectrum Access for RF-powered Ambient Backscatter Cognitive Radio Networks. In Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-528-9, pages 224-230. DOI: 10.5220/0010511502240230

in Bibtex Style

@conference{simultech21,
author={Ahmed Zakariya and Sherif Rabia and Waheed Zahra},
title={Dynamic Spectrum Access for RF-powered Ambient Backscatter Cognitive Radio Networks},
booktitle={Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2021},
pages={224-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010511502240230},
isbn={978-989-758-528-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Dynamic Spectrum Access for RF-powered Ambient Backscatter Cognitive Radio Networks
SN - 978-989-758-528-9
AU - Zakariya A.
AU - Rabia S.
AU - Zahra W.
PY - 2021
SP - 224
EP - 230
DO - 10.5220/0010511502240230