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In this paper, we propose to exploit the richly scattered multi-path nature of a frequency selective channel to provide additional degrees of freedom for desigining effective precoding schemes for multi-user communications. We design the…

信息论 · 计算机科学 2008-12-24 Wee Seng Chua , Chau Yuen , Yong Liang Guan , Francois Chin

We propose a versatile feedback scheme for both single- and multi-user multiple-input multiple-output (MIMO) frequency division duplex (FDD) systems. Particularly, we propose utilizing a Gaussian mixture model (GMM) with a reduced number of…

信息论 · 计算机科学 2023-11-29 Nurettin Turan , Benedikt Fesl , Michael Koller , Michael Joham , Wolfgang Utschick

Hybrid precoding can significantly reduce the number of required radio frequency (RF) chains and relieve the huge energy consumption in mmWave massive MIMO systems, thus attracting much interests from academic and industry. However, most…

信息论 · 计算机科学 2016-05-17 Tian Xie , Linglong Dai , Xinyu Gao , Muhammad Zeeshan Shakir , Zhaocheng Wang

This paper presents an iterative geometric mean decomposition (IGMD) algorithm for multiple-input-multiple-output (MIMO) wireless communications. In contrast to the existing GMD algorithms, the proposed IGMD does not require the explicit…

信息论 · 计算机科学 2013-11-05 Chiao-En Chen , Chia-Hsiang Yang

This letter considers a two-receiver multiple-input multiple-output (MIMO) Gaussian broadcast channel model with integrated services. Specifically, we combine two sorts of service messages, and serve them simultaneously: one multicast…

信息论 · 计算机科学 2016-11-29 Weidong Mei , Zhi Chen , Jun Fang

The space limitation and the channel acquisition prevent Massive MIMO from being easily deployed in a practical setup. Motivated by current deployments of LTE-Advanced, the use of multi-polarized antennas can be an efficient solution to…

信息论 · 计算机科学 2015-01-13 Jaehyun Park , Bruno Clerckx

Low-complexity precoding {algorithms} are proposed in this work to reduce the computational complexity and improve the performance of regularized block diagonalization (RBD) {based} precoding {schemes} for large multi-user {MIMO} (MU-MIMO)…

信息论 · 计算机科学 2013-04-25 Keke Zu , Rodrigo C. de Lamare , Martin Haardt

The focus of this paper is on multi-user MIMO transmissions for millimeter wave systems with a hybrid precoding architecture at the base-station. To enable multi-user transmissions, the base-station uses a cell-specific codebook of…

As a key enabling technology for 5G wireless, millimeter wave (mmWave) communication motivates the utilization of large-scale antenna arrays for achieving highly directional beamforming. However, the high cost and power consumption of RF…

信息论 · 计算机科学 2018-07-04 Qingjiang Shi , Mingyi Hong

In this paper, a new optimization framework is presented for the joint design of user selection, power allocation, and precoding in multi-cell multi-user multiple-input multiple-output (MU-MIMO) systems when imperfect channel state…

信息论 · 计算机科学 2019-02-05 Jiwook Choi , Namyoon Lee , Song-Nam Hong , Giuseppe Caire

Joint user selection and precoding in multiuser MIMO settings can be interpreted as group sparse recovery in linear models. In this problem, a signal with group sparsity is to be reconstructed from an underdetermined system of equations.…

信息论 · 计算机科学 2019-10-25 Saba Asaad , Ali Bereyhi , Ralf R. Muller , Rafael F. Schaefer

Block diagonalization (BD) based precoding techniques are well-known linear transmit strategies for multiuser MIMO (MU-MIMO) systems. By employing BD-type precoding algorithms at the transmit side, the MU-MIMO broadcast channel is…

信息论 · 计算机科学 2016-11-17 K. Zu , R. C. de Lamare , M. Haardt

We consider Gaussian multiple-input multiple-output (MIMO) channels with discrete input alphabets. We propose a non-diagonal precoder based on the X-Codes in \cite{Xcodes_paper} to increase the mutual information. The MIMO channel is…

信息论 · 计算机科学 2016-11-17 Saif Khan Mohammed , Emanuele Viterbo , Yi Hong , Ananthanarayanan Chockalingam

This paper studies the design of a decentralized multiuser multi-antenna (MIMO) system for spectrum sharing over a fixed narrow band, where the coexisting users independently update their transmit covariance matrices for individual…

信息论 · 计算机科学 2009-05-22 Rui Zhang , John M. Cioffi

Neural networks have been applied to the physical layer of wireless communication systems to solve complex problems. In millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems, hybrid precoding has been considered as…

网络与互联网体系结构 · 计算机科学 2019-03-22 Jing Yang , Kai Chen , Xiaohu Ge , Yonghui Li , Lin Tian

In this paper, the problem of designing a linear precoder for Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, a novel and efficient methodology to evaluate the…

信息论 · 计算机科学 2016-03-10 Thomas Ketseoglou , Ender Ayanoglu

In this paper, the problem of designing a forward link linear precoder for Massive Multiple-Input Multiple-Output (MIMO) systems in conjunction with Quadrature Amplitude Modulation (QAM) is addressed. First, we employ a novel and efficient…

信息论 · 计算机科学 2017-07-14 Thomas Ketseoglou , Ender Ayanoglu

Antenna arrays will be an important ingredient in millimeter wave (mmWave) cellular systems. A natural application of antenna arrays is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in mmWave systems…

信息论 · 计算机科学 2016-11-18 Ahmed Alkhateeb , Geert Leus , Robert W. Heath

This paper deals with the problem of precoding in multibeam satellite systems. In contrast to general multiuser multiple-input-multiple-output (MIMO) cellular schemes, multibeam satellite architectures suffer from different challenges.…

信息论 · 计算机科学 2016-12-14 Vahid Joroughi , Miguel Ángel Vázquez , Ana I. Pérez-Neira

The design of precoding plays a crucial role in achieving a high downlink sum-rate in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems. In this correspondence, we propose a deep…

信息论 · 计算机科学 2024-04-26 Yiran Guo , Wei Chen , Jialong Xu , Lun Li , Bo Ai
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