Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks
In this paper, a new network model is proposed to improve the performance of the secondary channel in cognitive radio networks (CRNs) based ambient backscatter communication systems. This model is considered as a cooperative system with multi-secondary transmitter (ST) and multi-relay. The ST backsc...
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| Format: | Article |
| Language: | English |
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Spolecnost pro radioelektronicke inzenyrstvi
2023-06-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | https://www.radioeng.cz/fulltexts/2023/23_02_0236_0247.pdf |
| _version_ | 1797815112625553408 |
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| author | M. Y. Onay O. Ertug |
| author_facet | M. Y. Onay O. Ertug |
| author_sort | M. Y. Onay |
| collection | DOAJ |
| description | In this paper, a new network model is proposed to improve the performance of the secondary channel in cognitive radio networks (CRNs) based ambient backscatter communication systems. This model is considered as a cooperative system with multi-secondary transmitter (ST) and multi-relay. The ST backscatters data to both the secondary receiver (SR) and relay. Also it harvests energy from the signal emitted by the primary transmitter (PT) during the busy period. The relay activated by the ST user forwards the information from ST to SR. During the idle period, the PT broadcast is interrupted and ST also performs active data transmission using the energy it has harvested. We aim to maximize the number of data transmitted to the SR. Therefore, how long the ST will perform backscattering, energy harvesting and active data transmission is a problem to be solved. In such cooperative systems with multiple users, the solution of the problem becomes more complex. Therefore, the system model has been mathematically modeled and transformed into an optimization problem, considering that users are transmitting data using time division multiple access (TDMA) and non-orthogonal multiple access (NOMA) techniques. Numerical results showed that higher data rates were achieved in NOMA. Additionally, It has been seen that the proposed model performs better when compared to the existing approaches in the literature, where the ST can only harvest energy and transmit data actively or only transmit data with ambient backscatter communication. |
| first_indexed | 2024-03-13T08:17:52Z |
| format | Article |
| id | doaj.art-8e958373f763425f9da0a96f5ccde19d |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-03-13T08:17:52Z |
| publishDate | 2023-06-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-8e958373f763425f9da0a96f5ccde19d2023-05-31T12:58:06ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122023-06-01322236247Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio NetworksM. Y. OnayO. ErtugIn this paper, a new network model is proposed to improve the performance of the secondary channel in cognitive radio networks (CRNs) based ambient backscatter communication systems. This model is considered as a cooperative system with multi-secondary transmitter (ST) and multi-relay. The ST backscatters data to both the secondary receiver (SR) and relay. Also it harvests energy from the signal emitted by the primary transmitter (PT) during the busy period. The relay activated by the ST user forwards the information from ST to SR. During the idle period, the PT broadcast is interrupted and ST also performs active data transmission using the energy it has harvested. We aim to maximize the number of data transmitted to the SR. Therefore, how long the ST will perform backscattering, energy harvesting and active data transmission is a problem to be solved. In such cooperative systems with multiple users, the solution of the problem becomes more complex. Therefore, the system model has been mathematically modeled and transformed into an optimization problem, considering that users are transmitting data using time division multiple access (TDMA) and non-orthogonal multiple access (NOMA) techniques. Numerical results showed that higher data rates were achieved in NOMA. Additionally, It has been seen that the proposed model performs better when compared to the existing approaches in the literature, where the ST can only harvest energy and transmit data actively or only transmit data with ambient backscatter communication.https://www.radioeng.cz/fulltexts/2023/23_02_0236_0247.pdfambient backscatter communicationcognitive radio networkscooperative systemrelayenergy harvestingconvex optimization |
| spellingShingle | M. Y. Onay O. Ertug Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks Radioengineering ambient backscatter communication cognitive radio networks cooperative system relay energy harvesting convex optimization |
| title | Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks |
| title_full | Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks |
| title_fullStr | Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks |
| title_full_unstemmed | Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks |
| title_short | Ambient Backscatter Communication Based Cooperative Relaying for Heterogeneous Cognitive Radio Networks |
| title_sort | ambient backscatter communication based cooperative relaying for heterogeneous cognitive radio networks |
| topic | ambient backscatter communication cognitive radio networks cooperative system relay energy harvesting convex optimization |
| url | https://www.radioeng.cz/fulltexts/2023/23_02_0236_0247.pdf |
| work_keys_str_mv | AT myonay ambientbackscattercommunicationbasedcooperativerelayingforheterogeneouscognitiveradionetworks AT oertug ambientbackscattercommunicationbasedcooperativerelayingforheterogeneouscognitiveradionetworks |