On Intelligent Reflecting Surfaces Element Allocation Using Genetic Algorithms | IEEE Conference Publication | IEEE Xplore

On Intelligent Reflecting Surfaces Element Allocation Using Genetic Algorithms


Abstract:

Intelligent reflecting surfaces (IRS) are surfaces consisting of an array of a large number of passive but individually controlled reflecting elements. This paper explore...Show More

Abstract:

Intelligent reflecting surfaces (IRS) are surfaces consisting of an array of a large number of passive but individually controlled reflecting elements. This paper explores the use of genetic algorithms for optimal allocation of the reflecting elements in a multi-user setting. In particular, it considers maximizing the sum-rate and equalizing the throughput in a wireless environment consisting of multiple co-located IRSes. A real-coded genetic algorithm for solving this problem is presented. Experimental results suggest that the method is effective.
Date of Conference: 12-15 September 2022
Date Added to IEEE Xplore: 20 December 2022
ISBN Information:

ISSN Information:

Conference Location: Kyoto, Japan

References

References is not available for this document.