paper-with-me

홈 › Papers

Interference-Aware Multiuser Hybrid Precoding for Coexistence with LEO Satellite Communication

2025-06-03 · Nima Razavi, Murat Bayraktar, Nuria Gonzalez Prelcic, Robert W. Heath Jr

Interference from terrestrial networks can reduce the communication rate for low Earth orbit (LEO) satellites in the upper mid-band. To coexist in frequency, MIMO precoding can be used to reduce the signal that impinges on the LEO satellite. We present a beamforming algorithm designed for the hybrid architecture that incorporates a satellite interference penalty while optimizing the analog and digital precoders. Our algorithm optimizes the precoding at the base station (BS) within the set of precoders that null the interference to the satellite. Simulations demonstrate that our algorithm reduces the interference at the satellites and lowers the probability of violating prescribed LEO satellite protection thresholds, outperforming prior hybrid nulling algorithms. Results indicate that the algorithm maintains sum-rate within 3\% of the existing hybrid solutions, while effectively improving interference to noise power by 22.4 dB.

📄 PDF Abstract BibTeX arXiv:2506.03438

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

BASE 설명 없음
SET Dynamic Sparse Training method where weight mask is updated randomly periodically

Similar Papers 제목 키워드 기반

Interference Exploitation-based Hybrid Precoding with Robustness Against Phase Errors

2019-07-23

Hybrid analog-digital precoding significantly reduces the hardware costs in massive MIMO transceivers when compared to fully-digital precoding at the expense of increased transmit power. In order to mitigate the above sh…

Integrated Monostatic Sensing and Full-Duplex Multiuser Communication for mmWave Systems

2024-05-15 · Murat Bayraktar, Nuria González-Prelcic, Mikko Valkama, Hao Chen 외

In this paper, we propose a hybrid precoding/combining framework for communication-centric integrated sensing and full-duplex (FD) communication operating at mmWave bands. The designed precoders and combiners enable mult…

Model-Driven Deep Learning for Massive Multiuser MIMO Constant Envelope Precoding

2020-06-27 · Yunfeng He, Hengtao, He, Chao-Kai Wen 외

Constant envelope (CE) precoding design is of great interest for massive multiuser multi-input multi-output systems because it can significantly reduce hardware cost and power consumption. However, existing CE precoding …

Efficient Autoprecoder-based deep learning for massive MU-MIMO Downlink under PA Non-Linearities

2022-02-03 · Xinying Cheng, Rafik Zayani, Marin Ferecatu, Nicolas Audebert

This paper introduces a new efficient autoprecoder (AP) based deep learning approach for massive multiple-input multiple-output (mMIMO) downlink systems in which the base station is equipped with a large number of antenn…

Decoder

Joint Symbol-Level Precoding and Reflecting Designs for IRS-Enhanced MU-MISO Systems

2019-12-26 · R. Liu, M. Li, Q. Liu, A. L. Swindlehurst

Intelligent reflecting surfaces (IRSs) have emerged as a revolutionary solution to enhance wireless communications by changing propagation environment in a cost-effective and hardware-efficient fashion. In addition, symb…