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For downlink transmission in massive multi-user multiple-input multiple-output (MU-MIMO) systems, conventional precoding research heavily focuses on reducing the computational complexity of precoding matrix design, while largely overlooking…

Signal Processing · Electrical Eng. & Systems 2026-05-19 Shuai Gao , Fan Xu , Mian Li , Xinzhi Ning , Lei Qiu , Ye Yang , Qingjiang Shi

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…

Information Theory · Computer Science 2017-07-14 Thomas Ketseoglou , Ender Ayanoglu

We introduce a framework for linear precoder design over a massive multiple-input multiple-output downlink system in the presence of nonlinear power amplifiers (PAs). By studying the spatial characteristics of the distortion, we demonstrate…

Information Theory · Computer Science 2021-11-16 Sina Rezaei Aghdam , Sven Jacobsson , Ulf Gustavsson , Giuseppe Durisi , Christoph Studer , Thomas Eriksson

Cell-free massive multiple-input-multiple-output (mMIMO) is an emerging technology for beyond 5G with its promising features such as higher spectral efficiency and superior spatial diversity as compared to conventional…

Information Theory · Computer Science 2020-12-29 Zakir Hussain Shaik , Emil Björnson , Erik G. Larsson

This paper investigates the joint data and pilot power optimization for maximum sum spectral efficiency (SE) in multi-cell Massive MIMO systems, which is a non-convex problem. We first propose a new optimization algorithm, inspired by the…

Information Theory · Computer Science 2019-03-21 Trinh Van Chien , Emil Björnson , Erik G. Larsson

This paper analyzes the performance of multicell massive multiple-input and multiple-output (MIMO) systems with variable-resolution analog-to-digital converters (ADCs). In such an architecture, each ADC uses arbitrary quantization…

Information Theory · Computer Science 2021-09-21 Youzhi Xiong , Sanshan Sun , Ning Wei , Li Liu , Zhongpei Zhang

Spatial modulation (SM) is a particularly important form of multiple-input-multiple-output (MIMO). Unlike traditional MIMO, it uses both modulation symbols and antenna indices to carry information. In this paper, to avoid the high cost and…

Signal Processing · Electrical Eng. & Systems 2020-01-08 Feng Shu , Xiaoyu Liu , Xinyi Jiang , Ling Xu , Guiyang Xia , Jiangzhou Wang

Cell-free Massive MIMO is considered as a promising technology for satisfying the increasing number of users and high rate expectations in beyond-5G networks. The key idea is to let many distributed access points (APs) communicate with all…

Information Theory · Computer Science 2019-09-19 Emil Björnson , Luca Sanguinetti

Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capability of dramatically reducing the hardware cost. Besides,…

Signal Processing · Electrical Eng. & Systems 2019-05-16 Lei Chu , Fei Wen , Robert Caiming Qiu

In this work, we propose iterative access point (AP) selection (APS), linear minimum mean-square error (MMSE) precoding and power allocation techniques for Cell-Free Massive multiple-input multiple-output (MIMO) systems. We consider the…

Information Theory · Computer Science 2021-04-13 V. Palhares , A. R. Flores , R. C. de Lamare

Delay alignment modulation (DAM) is an emerging technique for achieving inter-symbol interference (ISI)-free wideband communications using spatial-delay processing, without relying on channel equalization or multi-carrier transmission.…

Information Theory · Computer Science 2023-09-06 Haiquan Lu , Yong Zeng

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…

Information Theory · Computer Science 2022-11-11 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

Cell densification is a key driver to increase area spectral efficiencies in multi-antenna cellular systems. As increasing the densities of base stations (BSs) and users that share the same spectrum, however, both inter-user-interference…

Signal Processing · Electrical Eng. & Systems 2020-11-03 Deokhwan Han , Namyoon Lee

This paper considers multi-cell Massive MIMO (multiple-input multiple-output) systems where the channels are spatially correlated Rician fading. The channel model is composed of a deterministic line-of-sight (LoS) path and a stochastic…

Information Theory · Computer Science 2019-06-14 Özgecan Özdogan , Emil Björnson , Erik G. Larsson

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 algorithms are…

Signal Processing · Electrical Eng. & Systems 2020-06-30 Yunfeng He , Hengtao , He , Chao-Kai Wen , Shi Jin

Millimeter-Wave Massive MIMO is important for beyond 5G or 6G wireless communication networks. The goal of this paper is to establish successful communication between the cellular base stations and devices, focusing on the problem of joint…

Signal Processing · Electrical Eng. & Systems 2024-02-08 Yinchuan Li , Yuancheng Zhan , Le Zheng , Xiaodong Wang

We consider downlink precoding in a frequency-selective multi-user Massive MIMO system with highly efficient but non-linear power amplifiers at the base station (BS). A low-complexity precoding algorithm is proposed, which generates…

Information Theory · Computer Science 2013-05-08 Saif Khan Mohammed , Erik G. Larsson

A rapid change of channels in high-speed mobile communications will lead to difficulties in channel estimation and tracking but can also provide Doppler diversity. In this paper, the performance of a multiple-input multiple-output system…

Information Theory · Computer Science 2020-02-19 Xiaoyun Hou , Jie Ling , Dongming Wang

In this paper, we investigate the performance of cell-free massive MIMO systems with massive connectivity. With the generalized approximate message passing (GAMP) algorithm, we obtain the minimum mean-squared error (MMSE) estimate of the…

Information Theory · Computer Science 2021-05-17 Mangqing Guo , M. Cenk Gursoy

A hybrid transmit precoder (TPC) and receive combiner (RC) pair is conceived for millimeter wave (mmWave) multiple input multiple output (MIMO) integrated sensing and communication (ISAC) systems. The proposed design considers a practical…

Signal Processing · Electrical Eng. & Systems 2025-06-06 Jitendra Singh , Anand Mehrotra , Suraj Srivastava , Aditya K. Jagannatham , Lajos Hanzo
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