Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network
In this paper, we study a cognitive radio (CR)-enabled wireless powered communication network (WPCN) with an intelligent reflecting surface (IRS). A cognitive wireless powered communication network (CWPCN) consisting of one secondary wireless powered communication network, in which a hybrid access p...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10041156/ |
| _version_ | 1797900203569709056 |
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| author | Iqra Hameed Mario R. Camana Pham V. Tuan Insoo Koo |
| author_facet | Iqra Hameed Mario R. Camana Pham V. Tuan Insoo Koo |
| author_sort | Iqra Hameed |
| collection | DOAJ |
| description | In this paper, we study a cognitive radio (CR)-enabled wireless powered communication network (WPCN) with an intelligent reflecting surface (IRS). A cognitive wireless powered communication network (CWPCN) consisting of one secondary wireless powered communication network, in which a hybrid access point broadcasts wireless energy to multiple users on downlink and receives information signals on uplink, shares the same spectrum with the existing primary wireless communication network. In this paper, we consider an underlay CWPCN in which the secondary network is regulated by a given interference temperature constraint (ITC) such that interference with the primary network is kept no greater than a predefined threshold. To enhance the performance of the CWPCN, we consider an IRS-assisted network in which multiple passive reflection elements are configured to reflect the signals in any desired phase/direction. Our main goal is to maximize the sum throughput of secondary users while managing the interference constraint. For this, we jointly optimize the uplink and downlink phase shift matrices of the IRS elements with optimal time slots for wireless energy transfer (WET) on downlink and wireless information transfer on uplink. In finding the optimal solution, the formulated optimization problem is non-convex, complex, and intractable. In this paper, we propose an alternating optimization (AO)-based solution with a successive convex approximation (SCA) technique. We show through simulation results that the proposed IRS-assisted network provides a significant enhancement in performance over the conventional CWPCN. |
| first_indexed | 2024-04-10T08:42:19Z |
| format | Article |
| id | doaj.art-2533928b530e41a1ac2da796edab3097 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-10T08:42:19Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2533928b530e41a1ac2da796edab30972023-02-23T00:01:01ZengIEEEIEEE Access2169-35362023-01-0111160211603110.1109/ACCESS.2023.324384810041156Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication NetworkIqra Hameed0https://orcid.org/0000-0001-7601-9195Mario R. Camana1https://orcid.org/0000-0002-1953-872XPham V. Tuan2https://orcid.org/0000-0002-7060-2272Insoo Koo3https://orcid.org/0000-0001-7476-8782Department of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South KoreaDepartment of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South KoreaFaculty of Physics, University of Education, Hue University, Hue City, VietnamDepartment of Electrical, Electronic and Computer Engineering, University of Ulsan, Ulsan, South KoreaIn this paper, we study a cognitive radio (CR)-enabled wireless powered communication network (WPCN) with an intelligent reflecting surface (IRS). A cognitive wireless powered communication network (CWPCN) consisting of one secondary wireless powered communication network, in which a hybrid access point broadcasts wireless energy to multiple users on downlink and receives information signals on uplink, shares the same spectrum with the existing primary wireless communication network. In this paper, we consider an underlay CWPCN in which the secondary network is regulated by a given interference temperature constraint (ITC) such that interference with the primary network is kept no greater than a predefined threshold. To enhance the performance of the CWPCN, we consider an IRS-assisted network in which multiple passive reflection elements are configured to reflect the signals in any desired phase/direction. Our main goal is to maximize the sum throughput of secondary users while managing the interference constraint. For this, we jointly optimize the uplink and downlink phase shift matrices of the IRS elements with optimal time slots for wireless energy transfer (WET) on downlink and wireless information transfer on uplink. In finding the optimal solution, the formulated optimization problem is non-convex, complex, and intractable. In this paper, we propose an alternating optimization (AO)-based solution with a successive convex approximation (SCA) technique. We show through simulation results that the proposed IRS-assisted network provides a significant enhancement in performance over the conventional CWPCN.https://ieeexplore.ieee.org/document/10041156/Cognitive radio (CR)interference temperature constraint (ITC)reconfigurable intelligent surface (RIS)alternating optimizationsuccessive convex approximation |
| spellingShingle | Iqra Hameed Mario R. Camana Pham V. Tuan Insoo Koo Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network IEEE Access Cognitive radio (CR) interference temperature constraint (ITC) reconfigurable intelligent surface (RIS) alternating optimization successive convex approximation |
| title | Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network |
| title_full | Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network |
| title_fullStr | Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network |
| title_full_unstemmed | Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network |
| title_short | Intelligent Reflecting Surfaces for Sum-Rate Maximization in Cognitive Radio Enabled Wireless Powered Communication Network |
| title_sort | intelligent reflecting surfaces for sum rate maximization in cognitive radio enabled wireless powered communication network |
| topic | Cognitive radio (CR) interference temperature constraint (ITC) reconfigurable intelligent surface (RIS) alternating optimization successive convex approximation |
| url | https://ieeexplore.ieee.org/document/10041156/ |
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