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The timely precoding of frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems is a substantial challenge in practice, especially in mobile environments. In order to improve the precoding performance and…

信息论 · 计算机科学 2024-10-08 Ziao Qin , Haifan Yin

We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system, wherein each user may receive more than one data stream. We propose several mean squared error (MSE) based criteria for…

信息论 · 计算机科学 2009-02-10 Adam J. Tenenbaum , Raviraj S. Adve

We consider multi-group multicast precoding designs for cell-free massive multiple-input multiple-output (MIMO) systems. To optimize the transmit and receive beamforming strategies, we focus on minimizing the sum of the maximum mean squared…

信息论 · 计算机科学 2022-11-11 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

We introduce a novel Unsmoothed Aggregation (UA) Algebraic Multigrid (AMG) method combined with Preconditioned Conjugate Gradient (PCG) to overcome the limitations of Extended Position-Based Dynamics (XPBD) in high-resolution and…

图形学 · 计算机科学 2025-05-20 Chunlei Li , Peng Yu , Tiantian Liu , Siyuan Yu , Yuting Xiao , Shuai Li , Aimin Hao , Yang Gao , Qinping Zhao

This work studies coarse quantization-aware BD (${\scriptstyle\mathrm{CQA-BD}}$) and coarse quantization-aware RBD (${\scriptstyle\mathrm{CQA-RBD}}$) precoding algorithms for large-scale MU-MIMO systems with coarsely quantized signals and…

信息论 · 计算机科学 2021-12-15 S. F. Pinto , R. C. de Lamare

Low-rank approximation models of data matrices have become important machine learning and data mining tools in many fields including computer vision, text mining, bioinformatics and many others. They allow for embedding high-dimensional…

机器学习 · 计算机科学 2020-10-19 Penglong Zhai , Shihua Zhang

In this paper, we investigate symbol-level precoding (SLP) and efficient decoding techniques for downlink transmission, where we focus on scenarios where the base station (BS) transmits multiple QAM constellation streams to users equipped…

信号处理 · 电气工程与系统科学 2024-10-30 X. Tong , A. Li , L. Lei , X. Hu , F. Dong , S. Chatzinotas , C. Masouros

Coarsely quantized massive Multiple-Input Multiple-Output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the Multi-User Interference (MUI) and the quantization…

信息论 · 计算机科学 2018-01-30 Hela Jedda , Amine Mezghani , A. Lee Swindlehurst , Josef A. Nossek

Massive multiuser (MU) multiple-input multiple-output (MIMO) will be a core technology in fifth-generation (5G) wireless systems as it offers significant improvements in spectral efficiency compared to existing multi-antenna technologies.…

Base stations in 5G and beyond use advanced antenna systems (AASs), where multiple passive antenna elements and radio units are integrated into a single box. A critical bottleneck of such a system is the digital fronthaul between the AAS…

信号处理 · 电气工程与系统科学 2022-02-21 Yasaman Khorsandmanesh , Emil Björnson , Joakim Jaldèn

In this paper, we consider the amplify-and-forward relay networks in mmWave systems and propose a hybrid precoder/combiner design approach. The phase-only RF precoding/combining matrices are first designed to support multi-stream…

信息论 · 计算机科学 2019-11-01 Lisi Jiang , Hamid Jafarkhani

This study proposes a novel precoding scheme for multiuser multiple-input multiple-output (MIMO) relay systems in the presence of imperfect channel state information (CSI). The base station (BS) and the MIMO relay station (RS) are both…

信息论 · 计算机科学 2014-12-18 Y. Cai , R. C. de Lamare , L. L. Yang , M. Zhao

Multiple-input multiple-output (MIMO) transceiver design and probabilistic shaping (PS) are key enablers for high spectral efficiency in 6G wireless networks. This work proposes a distribution-aware MIMO transceiver optimized for PS…

信号处理 · 电气工程与系统科学 2026-03-16 Tzu-Hsuan Chou , Chih-Hao Liu , Jing Jiang

Question answering models struggle to generalize to novel compositions of training patterns, such to longer sequences or more complex test structures. Current end-to-end models learn a flat input embedding which can lose input syntax…

计算与语言 · 计算机科学 2021-11-08 Yu Gai , Paras Jain , Wendi Zhang , Joseph E. Gonzalez , Dawn Song , Ion Stoica

In this paper, a novel covariance-based channel feedback mechanism is investigated for frequency division duplexing (FDD) massive multi-input multi-output (MIMO) systems. The concept capitalizes on the notion of user statistical…

信息论 · 计算机科学 2019-10-08 Shuang Qiu , David Gesbert , Da Chen , Tao Jiang

In this paper, we study closed-form interference-exploitation precoding for multi-level modulations in the downlink of multi-user multiple-input single-output (MU-MISO) systems. We consider two distinct cases: first, for the case where the…

信息论 · 计算机科学 2018-11-09 Ang Li , Christos Masouros , Yonghui Li , Branka Vucetic , A. Lee Swindlehurst

The beamforming techniques have been recently studied as possible enablers for underlay spectrum sharing. The existing beamforming techniques have several common limitations: they are usually system model specific, cannot operate with…

Symbol-level precoding is a new paradigm for multiuser downlink systems which aims at creating constructive interference among the transmitted data streams. This can be enabled by designing the precoded signal of the multiantenna…

信息论 · 计算机科学 2017-04-12 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

Conventional spatial modulation (SM) is typically considered for transmission in the downlink of small-scale MIMO systems, where a single one of a set of antenna elements (AEs) is activated for implicitly conveying extra bits. By contrast,…

信息论 · 计算机科学 2016-04-26 Zhen Gao , Linglong Dai , Zhaocheng Wang , Sheng Chen , Lajos Hanzo

We consider the Multiple Input Single Output (MISO) Gaussian Broadcast channel with $N_t$ antennas at the base station (BS) and $N_u$ single-antenna users in the downlink. We propose a novel user grouping precoder which improves the sum…

信息论 · 计算机科学 2016-11-17 Saif Khan Mohammed , Erik G. Larsson