Related references
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Article
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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
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Summary: This paper investigates the problem of resource allocation in a STAR-RIS-assisted multi-carrier communication network. The results show that the proposed scheme achieves comparable performance for different multiple access techniques and the STAR-RIS-aided NOMA network outperforms traditional RIS and OMA networks.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
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Summary: This article introduces the synergistic integration of reconfigurable intelligent surfaces (RISs) and nonorthogonal multiple access (NOMA) in the sixth generation (6G) of mobile communication networks. It first explains the basic principles of both techniques and then discusses RIS-NOMA in different communication scenarios. Resource allocation, including the use of artificial intelligence (AI) in design, is crucial for the success of RIS-assisted NOMA networks. The article also discusses the security of RIS-NOMA networks, as wireless networks are often vulnerable to security attacks.
PROCEEDINGS OF THE IEEE
(2022)
Article
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Muhammad Shehab et al.
Summary: In this study, we propose an intelligent reflecting surface (IRS)-assisted downlink non-orthogonal multiple access (NOMA) system, utilizing deep reinforcement learning (DRL) techniques to predict and adjust the phase shift matrices of the IRS for maximizing the total user rate. Simulation results demonstrate that the proposed IRS-assisted NOMA system achieves higher total rate compared to the conventional orthogonal multiple access (OMA) system, with an increased capability of serving more users as the transmit power increases. However, imperfect successive interference cancellation (SIC) negatively impacts the data rate of users performing SIC, resulting in more than a 10% decrease in rate with a tenfold increase in imperfection.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2022)
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IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
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IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
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Jiaqi Xu et al.
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IEEE COMMUNICATIONS LETTERS
(2021)
Article
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Summary: Reconfigurable intelligent surfaces (RISs) or intelligent reflecting surfaces (IRSs) are considered as one of the most promising and revolutionizing techniques for enhancing the spectrum and energy efficiency of wireless systems by reconfiguring the wireless propagation environment through carefully tuning the phase shifts of a large number of low-cost passive reflecting elements. The article aims to address four fundamental questions and highlights eight promising research directions.
IEEE COMMUNICATIONS MAGAZINE
(2021)
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
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IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
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IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
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