Impact of Channel Estimation Feedback on 5G NR Integrated Access and Backhaul

被引:0
|
作者
Tahkoubit, Khaled [1 ]
Cassiau, Nicolas [1 ]
Zayani, Rafik [1 ]
Bello, Yaya [1 ]
机构
[1] Univ Grenoble Alpes, CEA Leti, F-38000 Grenoble, France
关键词
Integrated Access and Backhaul; Reconfigurable Intelligent Surface; Inter-User Interference; Inter-Numerology Interference; Channel Estimation Feedback; Precoding; Analog Beamforming; Hybrid Beamforming; RECONFIGURABLE INTELLIGENT SURFACES;
D O I
10.1109/EuCNC/6GSummit60053.2024.10597013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Integrated Access and Backhaul (IAB) systems are gaining more and more interest for future wireless networks. IAB combines the access and the backhaul links to improve network efficiency and reduce deployment costs. This study investigates the impact of the channel estimation feedback on digital precoding in 5G NR Mixed Numerology IAB systems. Combining analog beamforming with Reconfigurable Intelligent Surface (RIS) and digital precoding, we address challenges related to inter-user and inter-numerology interference. We rely on the model of an existing RIS and on realistic channel modeling. We demonstrate the effectiveness of hybrid precoding in interference mitigation, enhancing system performance with limited complexity. Simulation results affirm the potential of our approach for high-capacity and interference-resilient wireless networks, offering valuable insights for future designs.
引用
收藏
页码:481 / 486
页数:6
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