Abstract
Distributed reconfigurable intelligent surfaces (RISs) provide rich macro-diversity coverage due to different locations of the RISs, which is beneficial to combat coverage holes. However, the system performance relies on the effective coordination of multiple RISs. Thus, the resource allocation scheme for distributed RIS-assisted multiuser system is a crucial challenge. To tackle these issues, joint power allocation, phase shifts and communication scheduling design for distributed RIS-assisted systems is investigated in this paper, where all RISs simultaneously and cooperatively serve multiple users. To overcome the formulated nonconvex maximization problem, the original maximization problem is decoupled into three subproblems and solved in an iterative manner. Numerical simulations are conducted to demonstrate that the considered solution outperforms the existing benchmark and achieves a near-optimal sum rate. © 2024 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2024 9th International Conference on Signal and Image Processing (ICSIP) |
| Publisher | IEEE |
| Pages | 126-131 |
| ISBN (Electronic) | 979-8-3503-5091-3, 9798350350920 |
| ISBN (Print) | 979-8-3503-5093-7 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 9th International Conference on Signal and Image Processing (ICSIP 2024) - Southeast University, Nanjing, China Duration: 12 Jul 2024 → 14 Jul 2024 https://www.icsip.org/2024.html |
Publication series
| Name | International Conference on Signal and Image Processing, ICSIP |
|---|---|
| ISSN (Print) | 2373-681X |
| ISSN (Electronic) | 2642-6471 |
Conference
| Conference | 9th International Conference on Signal and Image Processing (ICSIP 2024) |
|---|---|
| Place | China |
| City | Nanjing |
| Period | 12/07/24 → 14/07/24 |
| Internet address |
Research Keywords
- Distributed reconfigurable intelligent surfaces (RISs)
- multiuser MIMO
- phase shifts
- power allocation
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