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Study on precoding optimization algorithms in massive MIMO system with multi-antenna usersстатья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или Scopus- Авторы: Bobrov Evgeny, Kropotov Dmitry, Troshin Sergey, Zaev Danila
- Журнал: Optimization Methods and Software
- Год издания: 2022
- Издательство: Taylor & Francis
- Местоположение издательства: United Kingdom
- Первая страница: 1
- Последняя страница: 16
- DOI: 10.1080/10556788.2022.2091564
- Аннотация: The paper studies the multi-user precoding problem as a non-convex optimization problem for wireless multiple inputs and multiple outputs (MIMO) systems. In our work, we approximate the target Spectral Efficiency function with a novel computationally simpler function. Then, we reduce the precoding problem to an unconstrained optimization task using a special differential projection method and solve it by the Quasi-Newton L-BFGS iterative procedure to achieve gains in capacity. We are testing the proposed approach in several scenarios generated using Quadriga-open-source software for generating realistic radio channel impulse response. Our method shows monotonic improvement over heuristic methods with reasonable computation time. The proposed L-BFGS optimization scheme is novel in this area and shows a significant advantage over the standard approaches. The proposed method has simple implementation and can be a good reference for other heuristic algorithms in this field.
- Добавил в систему: Бобров Евгений Александрович