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Related papers: Zero-Forcing Per-Group Precoding (ZF-PGP) for Robu…

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We address the problem of analyzing and classifying in groups the downlink channel environment in a millimeter-wavelength cell, accounting for path loss, multipath fading, and User Equipment (UE) blocking, by employing a hybrid propagation…

Information Theory · Computer Science 2020-02-06 Thomas Ketseoglou , Matthew. C. Valenti , Ender Ayanoglu

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…

Information Theory · Computer Science 2016-11-17 Saif Khan Mohammed , Erik G. Larsson

We provide a simple, yet general and accurate framework for analyzing zero-forcing (ZF) precoding performance for a full-dimensional massive multiple-input multiple-output system. Exploiting an order two Neumann series, our framework…

Information Theory · Computer Science 2021-08-03 Harsh Tataria , Mansoor Shafi

Massive multiple-input multiple-output (MIMO) is envisioned to offer considerable capacity improvement, but at the cost of high complexity of the hardware. In this paper, we propose a low-complexity hybrid precoding scheme to approach the…

Information Theory · Computer Science 2016-11-17 Le Liang , Wei Xu , Xiaodai Dong

By processing in the frequency domain (FD), massive MIMO systems can approach the theoretical per-user capacity using a single carrier modulation (SCM) waveform with a cyclic prefix. Minimum mean squared error (MMSE) detection and zero…

Signal Processing · Electrical Eng. & Systems 2021-03-16 Brent A. Kenney , Arslan J. Majid , Hussein Moradi , Behrouz Farhang-Boroujeny

Efficient uplink processing in distributed massive multiple-input multiple-output (D-mMIMO) systems requires both effective local combining and scalable decoding to significantly mitigate inter-user interference. Recent zero-forcing…

Networking and Internet Architecture · Computer Science 2026-03-17 Mohd Saif Ali Khan , Karthik RM , Samar Agnihotri

The high energy consumption of massive multi-input multi-out (MIMO) system has become a prominent problem in the millimeter wave(mm-Wave) communication scenario. The hybrid precoding technology greatly reduces the number of radio…

Signal Processing · Electrical Eng. & Systems 2019-08-02 Kai Chen , Jing Yang , Xiaohu Ge , Yonghui Li

In this paper, we consider a downlink (DL) massive multiple-input multiple-output (MIMO) system, where different users have different mobility profiles. To support this system, we propose to use a hybrid orthogonal time frequency space…

Information Theory · Computer Science 2023-10-16 Ruoxi Chong , Mohammadali Mohammadi , Hien Quoc Ngo , Simon L. Cotton , Michail Matthaiou

In this paper, we consider precoder designs for multiuser multiple-input-single-output (MISO) broadcasting channels. Instead of using a traditional linear zero-forcing (ZF) precoder, we propose a generalized ZF (GZF) precoder in conjunction…

Information Theory · Computer Science 2017-09-07 Sha Hu , Fredrik Rusek

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

Massive multi-user multiple-input multiple-output (MU-MIMO) systems enable high spatial resolution, high spectral efficiency, and improved link reliability compared to traditional MIMO systems due to the large number of antenna elements…

Signal Processing · Electrical Eng. & Systems 2024-07-19 Brikena Kaziu , Nikita Shanin , Danilo Spano , Li Wang , Wolfgang Gerstacker , Robert Schober

Cell-free Massive MIMO (multiple-input multiple-output) is a promising distributed network architecture for 5G-and-beyond systems. It guarantees ubiquitous coverage at high spectral efficiency (SE) by leveraging signal co-processing at…

Information Theory · Computer Science 2020-04-17 Giovanni Interdonato , Marcus Karlsson , Emil Björnson , Erik G. Larsson

Feeding power amplifiers (PAs) with constant envelope (CE) signals is an effective way to reduce the power consumption in massive multiple-input-multiple-output (MIMO) systems. The nonlinear distortion caused by CE signaling must be…

Signal Processing · Electrical Eng. & Systems 2024-11-06 Ferhad Askerbeyli , Wen Xu , Josef A. Nossek

In this letter, we consider linear precoding for downlink massive multi-user (MU) multiple-input multiple-output (MIMO) systems. We propose the novel successively-regularized zero forcing (SRZF) precoding, which exploits successive null…

Information Theory · Computer Science 2022-11-03 Aravindh Krishnamoorthy , Robert Schober

Cell-free massive multiple-input-multiple-output (CF-mMIMO) is regarded as one of the promising technologies for next-generation wireless networks. However, due to its distributed architecture, geographically separated access points (APs)…

Signal Processing · Electrical Eng. & Systems 2024-11-11 Pengzhe Xin , Yang Cao , Yue Wu , Dongming Wang , Xiaohu You , Jiangzhou Wang

In this paper, we propose a greedy user selection with swap (GUSS) algorithm based on zero-forcing beamforming (ZFBF) for the multi-user multiple-input multiple-output (MIMO) downlink channels. Since existing user selection algorithms, such…

Information Theory · Computer Science 2015-03-20 Shengchun Huang , Hao Yin , Jiangxing Wu , Victor C. M. Leung

In this paper, we study the low-complexity channel reconstruction methods for downlink precoding in massive MIMO systems. When the user is allocated less streams than the number of its antennas, the BS or user usually utilizes the singular…

Information Theory · Computer Science 2016-11-17 Yuwei Ren , Xin Su , Can Qi , Yingmin Wang

We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a simple multiuser zero-forcing (ZF) linear precoding…

Information Theory · Computer Science 2013-04-18 Saeed Kaviani , Witold A. Krzymien

Cell-free massive multiple-input multiple-output (MIMO) provides more uniform spectral efficiency (SE) for users (UEs) than cellular technology. The main challenge to achieve the benefits of cell-free massive MIMO is to realize signal…

Information Theory · Computer Science 2022-03-22 Jiayi Zhang , Jing Zhang , Emil Björnson , Bo Ai

In the context of cell-free massive multi-input multi-output (CFmMIMO), zero-forcing precoding (ZFP) is superior in terms of spectral efficiency. However, it suffers from channel aging owing to fronthaul and processing delays. In this…

Information Theory · Computer Science 2022-10-12 Wei Jiang , Hans D. Schotten
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