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- Publisher Website: 10.1109/TCOMM.2020.3016742
- Scopus: eid_2-s2.0-85096228148
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Article: Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems
Title | Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems |
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Authors | |
Keywords | Intelligent reflecting surface non-orthogonal multiple access resource allocation |
Issue Date | 2020 |
Citation | IEEE Transactions on Communications, 2020, v. 68, n. 11, p. 7170-7183 How to Cite? |
Abstract | This article investigates the downlink communications of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) systems. To maximize the system throughput, we formulate a joint optimization problem over the channel assignment, decoding order of NOMA users, power allocation, and reflection coefficients. The formulated problem is proved to be NP-hard. To tackle this problem, a three-step novel resource allocation algorithm is proposed. Firstly, the channel assignment problem is solved by a many-to-one matching algorithm. Secondly, by considering the IRS reflection coefficients design, a low-complexity decoding order optimization algorithm is proposed. Thirdly, given a channel assignment and decoding order, a joint optimization algorithm is proposed for solving the joint power allocation and reflection coefficient design problem. Numerical results illustrate that: i) with the aid of IRS, the proposed IRS-NOMA system outperforms the conventional NOMA system without the IRS in terms of system throughput; ii) the proposed IRS-NOMA system achieves higher system throughput than the IRS assisted orthogonal multiple access (IRS-OMA) systems; iii) simulation results show that the performance gains of the IRS-NOMA and the IRS-OMA systems can be enhanced via carefully choosing the location of the IRS. |
Persistent Identifier | http://hdl.handle.net/10722/349489 |
ISSN | 2023 Impact Factor: 7.2 2020 SCImago Journal Rankings: 1.468 |
DC Field | Value | Language |
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dc.contributor.author | Zuo, Jiakuo | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Qin, Zhijin | - |
dc.contributor.author | Al-Dhahir, Naofal | - |
dc.date.accessioned | 2024-10-17T06:58:52Z | - |
dc.date.available | 2024-10-17T06:58:52Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | IEEE Transactions on Communications, 2020, v. 68, n. 11, p. 7170-7183 | - |
dc.identifier.issn | 0090-6778 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349489 | - |
dc.description.abstract | This article investigates the downlink communications of intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) systems. To maximize the system throughput, we formulate a joint optimization problem over the channel assignment, decoding order of NOMA users, power allocation, and reflection coefficients. The formulated problem is proved to be NP-hard. To tackle this problem, a three-step novel resource allocation algorithm is proposed. Firstly, the channel assignment problem is solved by a many-to-one matching algorithm. Secondly, by considering the IRS reflection coefficients design, a low-complexity decoding order optimization algorithm is proposed. Thirdly, given a channel assignment and decoding order, a joint optimization algorithm is proposed for solving the joint power allocation and reflection coefficient design problem. Numerical results illustrate that: i) with the aid of IRS, the proposed IRS-NOMA system outperforms the conventional NOMA system without the IRS in terms of system throughput; ii) the proposed IRS-NOMA system achieves higher system throughput than the IRS assisted orthogonal multiple access (IRS-OMA) systems; iii) simulation results show that the performance gains of the IRS-NOMA and the IRS-OMA systems can be enhanced via carefully choosing the location of the IRS. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Communications | - |
dc.subject | Intelligent reflecting surface | - |
dc.subject | non-orthogonal multiple access | - |
dc.subject | resource allocation | - |
dc.title | Resource Allocation in Intelligent Reflecting Surface Assisted NOMA Systems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TCOMM.2020.3016742 | - |
dc.identifier.scopus | eid_2-s2.0-85096228148 | - |
dc.identifier.volume | 68 | - |
dc.identifier.issue | 11 | - |
dc.identifier.spage | 7170 | - |
dc.identifier.epage | 7183 | - |
dc.identifier.eissn | 1558-0857 | - |