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On precoding algorithm for highly correlated users in Massive MIMO systemsдоклад на конференции
- Авторы: Salakhov Damir, Kuznetsov Victor
- Международная Конференция : International Conference Mathematical Optimization Theory and Operations Research (MOTOR-2022). July 2-6, 2022, Petrozavodsk, Republic of Karelia
- Даты проведения конференции: 2-6 июля 2022
- Дата доклада: 3 июля 2022
- Тип доклада: Устный
- Докладчик: Salakhov Damir
- Место проведения: Petrozavodsk, Republic of Karelia, Russia
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Аннотация доклада:
In this talk a downlink Massive-MIMO scenario with a pair of highly correlated multiple antennas users is considered. We are looking for the optimal precoding (beamforming) in the sense of the sum of spectral efficiencies. In short the main idea is as follows. Firstly, we set several support vectors for the first Ue and consider their span V. Then we select the support vectors for the second Ue from the orthogonal complement to V so that beamforming gain is maximized. The proposed algorithm shows better results than the known baselines and the SU case. This result is also supported by theoretical proofs and confirmed on simulations.
- Добавил в систему: Салахов Дамир Ильдарович