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A Low-Complexity Algorithmic Framework for Large-Scale IRS-Assisted Wireless Systems

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Document pages: 6 pages

Abstract: Intelligent reflecting surfaces (IRSs) are revolutionary enablers fornext-generation wireless communication networks, with the ability to customizethe radio propagation environment. To fully exploit the potential ofIRS-assisted wireless systems, reflective elements have to be jointly optimizedwith conventional communication techniques. However, the resulting optimizationproblems pose significant algorithmic challenges, mainly due to the large-scalenon-convex constraints induced by the passive hardware implementations. In thispaper, we propose a low-complexity algorithmic framework incorporatingalternating optimization and gradient-based methods for large-scaleIRS-assisted wireless systems. The proposed algorithm provably converges to astationary point of the optimization problem. Extensive simulation resultsdemonstrate that the proposed framework provides significant speedups comparedwith existing algorithms, while achieving a comparable or better performance.

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