Abstract
This paper explores a multi-user multi-carrier system leveraging an active reconfigurable intelligent surface (RIS), where the joint design of the RIS's programmable reflecting elements and the subcarrier-wise beamformers at the base station is investigated. To overcome the limitation of the conventional design, which aims solely at sum-rate maximization resulting in zero rates for some users across all sub-carriers and thus failing to boost all users rates, we propose the two alternative designs: one maximizing the geometric mean of the users' rates (GM-rate maximization) and the other maximizing the soft users' minimum rate (soft max-min rate optimization). However, they pose challenges as large-scale nonconvex problems, rendering convex-solver computational approaches impractical. To tackle this, we develop iterative computational procedures based on closed-form expressions of scalable complexity. Extensive simulations demonstrate the substantial benefits of these novel designs in significantly enhancing multi-user rates. Notably, under the same power budget, the active-RIS-assisted multi-carrier system achieves approximately twice the minimum user-rate or sum rate compared to RIS-less or passive-RIS-assisted counterparts.
Original language | English (US) |
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Pages (from-to) | 1-15 |
Number of pages | 15 |
Journal | IEEE Transactions on Vehicular Technology |
DOIs | |
State | Accepted/In press - 2024 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Aerospace Engineering
- Computer Networks and Communications
- Electrical and Electronic Engineering
Keywords
- Active reconfigurable intelligent surface
- Closed-form solutions
- Indexes
- large-scale computation
- multi-carrier communication
- multi-user rate enhancement
- OFDM
- Optimization
- Reconfigurable intelligent surfaces
- subcarrier-wise beamforming
- Symmetric matrices
- Vectors