Abstract
The Intelligent Reflecting Surface (IRS) represents a revolutionary technology for effectively enhancing the performance of Internet-of-Things (IoT) networks owing to its ability of customizing the wireless propagation environment and compatibility with advanced communication techniques, such as non-orthogonal multiple-access (NOMA). This paper investigates the impact of imperfect channel state information (CSI) on the achievable data rate of IRS-Aided downlink NOMA-enabled IoT framework over Rician fading channels. Specifically, the imperfect CSI is considered from the IRS to the IoT devices. The results demonstrated that imperfect CSI has a significant impact on the achievable rate performance of the far and near IoT devices, which are also different under different numbers of reflecting units.
Original language | English |
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Title of host publication | 2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC |
Publisher | IEEE |
DOIs | |
Publication status | Published - 8 Jul 2024 |
Keywords
- intelligent reflecting surface (IRS)
- 6G
- NOMA
- imperfect CSI
- internet-of-things (IoT)
- achievable rate