Learning-based robust resource allocation for D2D underlaying cellular network
In this paper, we study the resource allocation in D2D underlaying cellular network with
uncertain channel state information (CSI). For satisfying the minimum rate requirement for …
uncertain channel state information (CSI). For satisfying the minimum rate requirement for …
[HTML][HTML] Robust Beamforming Design for IRS-Aided Cognitive Radio Networks with Bounded CSI Errors
L ZHANG, Y WANG, Y SHANG… - Chinese Journal of …, 2022 - cje.ejournal.org.cn
(corresponding author) was born in Pingshun, Shanxi province. She received her Ph. D
degree in the School of Information Science and Engineering from Southeast University …
degree in the School of Information Science and Engineering from Southeast University …
“Orthogonalized” sparsity enhanced mismatch models for wireless heterogeneous networks
CC Fung, SH Tai - Physical Communication, 2022 - Elsevier
Performance of MIMO precoder for heterogeneous networks can be hindered by a lack of
accurate channel state information. The sparsity enhanced mismatch model (SEMM) has …
accurate channel state information. The sparsity enhanced mismatch model (SEMM) has …
A New Era for Wireless Communications Physical Layer: A Data-Driven Learning-Based Approach
A Al-Baidhani - 2022 - search.proquest.com
This thesis focuses on developing algorithms with a learning-based-approach for the
wireless communications physical layer (PHY). The objectives of this alternative approach …
wireless communications physical layer (PHY). The objectives of this alternative approach …
Исследование влияния ошибок оценки канала на настройку реконфигурируемых интеллектуальных поверхностей в системах MIMO
АИ Пойда, ЕО Ендовицкий, АА Куреев - ИТиС 2022, 2022 - elibrary.ru
В современном мире постоянно растут требования к скорости передачи данных. В
связи с этим разрабатываются новые технологии, которые повышают …
связи с этим разрабатываются новые технологии, которые повышают …