Maximizing the Geometric Mean of User-Rates to Improve Rate-Fairness: Proper vs. Improper Gaussian Signaling
| Autor: | Eryk Dutkiewicz, H. V. Poor, Lajos Hanzo, Hongwen Yu, Hoang Duong Tuan |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Mathematical optimization
Computer science Wireless network Applied Mathematics Gaussian Bandwidth (signal processing) 0805 Distributed Computing 0906 Electrical and Electronic Engineering 1005 Communications Technologies 020206 networking & telecommunications 02 engineering and technology Interference (wave propagation) Computer Science Applications Base station symbols.namesake Signal-to-noise ratio Telecommunications link 0202 electrical engineering electronic engineering information engineering symbols Electrical and Electronic Engineering Antenna (radio) Networking & Telecommunications |
| Popis: | This papers considers a reconfigurable intelligent surface (RIS)-aided network, which relies on a multiple antenna array aided base station (BS) and a RIS for serving multiple single antenna downlink users. To provide reliable links to all users over the same bandwidth and same time-slot, the paper proposes the joint design of linear transmit beamformers and the programmable reflecting coefficients of an IRS to maximize the geometric mean (GM) of the users’ rates. A new computationally efficient alternating descent algorithm is developed, which is based on closed-forms only for generating improved feasible points of this nonconvex problem. We also consider the joint design of widely linear transmit beamformers and the programmable reflecting coefficients to further improve the GM of the users’ rates. Hence another alternating descent algorithm is developed for its solution, which is also based on closed forms only for generating improved feasible points. Numerical examples are provided to demonstrate the efficiency of the proposed approach. |
| Databáze: | OpenAIRE |
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