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Millimeter-wave (mmWave) channels, which occupy frequency ranges much higher than those being used in previous wireless communications systems, are utilized to meet the increased throughput requirements that come with 5G communications. The…

信号处理 · 电气工程与系统科学 2023-02-16 Esen Özbay

Communication at millimeter wave (mmWave) frequencies is one of the main novelties introduced in the 5th generation (5G) of cellular networks. The opportunities and challenges associated with such high frequencies have stimulated a number…

网络与互联网体系结构 · 计算机科学 2020-04-02 Paolo Testolina , Mattia Lecci , Michele Polese , Marco Giordani , Michele Zorzi

Millimeter Wave (mmWave) massive Multiple Input Multiple Output (MIMO) systems realizing directive beamforming require reliable estimation of the wireless propagation channel. However, mmWave channels are characterized by high variability…

信息论 · 计算机科学 2019-06-07 Evangelos Vlachos , George C. Alexandropoulos , John Thompson

Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires estimating the channel matrix. This estimation task is studied, considering a sparse channel model…

信息论 · 计算机科学 2018-04-06 Luc Le Magoarou , Stéphane Paquelet

The Terahertz band is envisioned to meet the demanding 100 Gbps data rates for 6G wireless communications. Aiming at combating the distance limitation problem with low hardware-cost, ultra-massive MIMO with hybrid beamforming is promising.…

信息论 · 计算机科学 2021-06-11 Yuhang Chen , Longfei Yan , Chong Han

This paper investigates the low-complex linear minimum mean squared error (LMMSE) channel estimation in an extra-large scale MIMO system with the spherical wave model (SWM). We model the extra-large scale MIMO channels using the SWM in the…

信息论 · 计算机科学 2023-10-24 Xumin Pu , Zhinan Sun , Qianbin Chen , Shi Jin

Millimeter-wave multi-input multi-output (mm-Wave MIMO) systems are one of the candidate schemes for 5G wireless standardization efforts. In this context, the main contributions of this article are three-fold. 1) We describe parallel sets…

In this paper, a framework of beamspace channel estimation in millimeter wave (mmWave) massive MIMO system is proposed. The framework includes the design of hybrid precoding and combining matrix as well as the search method for the largest…

信号处理 · 电气工程与系统科学 2019-01-08 Wenyan Ma , Chenhao Qi

Millimeter Wave (mmWave) band provides a large spectrum to meet the high-demand capacity by the 5th generation (5G) wireless networks. However, to fully exploit the available spectrum, obstacles such as high path loss, channel sparsity, and…

信息论 · 计算机科学 2018-07-16 Mojtaba Ahmadi Almasi , Roohollah Amiri , Hani Mehrpouyan

Large-scale multiple-input multiple-output (MIMO) holds great promise for the fifth-generation (5G) and future communication systems. In near-field scenarios, the spherical wavefront model is commonly utilized to accurately depict the…

信号处理 · 电气工程与系统科学 2024-10-14 Hao Jiang , Wangqi Shi , Xiao Chen , Qiuming Zhu , Zhen Chen

The use of base stations (BSs) and access points (APs) with a large number of antennas, called Massive MIMO (multiple-input multiple-output), is a key technology for increasing the capacity of 5G networks and beyond. While originally…

信息论 · 计算机科学 2019-01-16 Emil Björnson , Liesbet Van der Perre , Stefano Buzzi , Erik G. Larsson

Enhanced mobile broadband (eMBB) is one of the key use-cases for the development of the new standard 5G New Radio for the next generation of mobile wireless networks. Large-scale antenna arrays, a.k.a. Massive MIMO, the usage of carrier…

信息论 · 计算机科学 2017-02-24 Stefano Buzzi , Carmen D'Andrea

Accurate multiple-input multiple-output (MIMO) channel estimation is critical for next-generation wireless systems, enabling enhanced communication and sensing performance. Traditional model-based channel estimation methods suffer, however,…

信号处理 · 电气工程与系统科学 2026-02-02 Seyed Alireza Javid , Nuria González-Prelcic

This paper is concerned with the channel estimation problem in millimetre wave (MMW) wireless systems with large antenna arrays. By exploiting the sparse nature of the MMW channel, we present an efficient estimation algorithm based on a…

信息论 · 计算机科学 2018-04-19 Matthew Kokshoorn , Peng Wang , Yonghui Li , Branka Vucetic

Channel estimation is challenging for millimeter-wave (mmWave) massive MIMO with hybrid precoding, since the number of radio frequency (RF) chains is much smaller than that of antennas. Conventional compressive sensing based channel…

信息论 · 计算机科学 2018-07-10 Chen Hu , Linglong Dai , Talha Mir , Zhen Gao , Jun Fang

Spatial wideband effects are known to affect channel estimation and localization performance in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. Based on perturbation analysis, we show that the spatial…

信号处理 · 电气工程与系统科学 2022-09-20 Shudi Weng , Fan Jiang , Henk Wymeersch

Millimeter wave (mmWave) communication is one of the most promising technologies in fifth generation (5G) mobile networks due to its access to a large amount of available spectrum resources. Despite the theoretical potential of a high data…

信号处理 · 电气工程与系统科学 2018-04-09 Zhijian Lin , Xiaojiang Du , Hsiao-Hwa Chen , Bo Ai , Zhifeng Chen , Dapeng Wu

Multiple-input multiple-output (MIMO) millimeter wave (mmWave) communication is a key technology for next generation wireless networks. One of the consequences of utilizing a large number of antennas with an increased bandwidth is that…

信号处理 · 电气工程与系统科学 2020-02-19 Mingjin Wang , Feifei Gao , Mark F. Flanagan , Nir Shlezinger , Yonina C. Eldar

This paper provides an overview of the features of fifth generation (5G) wireless communication systems now being developed for use in the millimeter wave (mmWave) frequency bands. Early results and key concepts of 5G networks are…

In the Fifth generation (5G) wireless communication systems, a majority of the traffic demands is contributed by various multimedia applications. To support the future 5G multimedia communication systems, the massive multiple-input…

信息论 · 计算机科学 2016-11-11 Xiaohu Ge , Haichao Wang , Ran Zi , Qiang Li , Qiang Ni
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