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In this paper, we investigate a cascaded channel estimation method for a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) system aided by a reconfigurable intelligent surface (RIS) with the BS equipped with…

信息论 · 计算机科学 2024-01-17 Ruizhe Wang , Hong Ren , Cunhua Pan , Shi Jin , Petar Popovski , Jiangzhou Wang

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems typically employ hybrid mixed signal processing to avoid expensive hardware and high training overheads. {However, the lack of fully digital beamforming at…

信息论 · 计算机科学 2021-02-23 Asmaa Abdallah , Abdulkadir Celik , Mohammad M. Mansour , Ahmed M. Eltawil

Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with…

信息论 · 计算机科学 2015-06-18 Ahmed Alkhateeb , Omar El Ayach , Geert Leus , Robert W. Heath

By employing the lens antenna array, beamspace MIMO can utilize beam selection to reduce the number of required RF chains in mmWave massive MIMO systems without obvious performance loss. However, to achieve the capacityapproaching…

信息论 · 计算机科学 2016-07-19 Linglong Dai , Xinyu Gao , Shuangfeng Han , Chih-Lin I , Xiaodong Wang

Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technique for the future 5G wireless communications. Due to a large number of antennas but a much smaller number of radio frequency…

信息论 · 计算机科学 2017-10-31 Anwen Liao , Zhen Gao , Yongpeng Wu , Hua Wang , Mohamed-Slim Alouini

A reconfigurable intelligent surface (RIS) can shape the radio propagation environment by virtue of changing the impinging electromagnetic waves towards any desired directions, thus, breaking the general Snell's reflection law. However, the…

信号处理 · 电气工程与系统科学 2021-01-15 Jiguang He , Henk Wymeersch , Markku Juntti

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

In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave (mmWave) systems, where the number of radio frequency (RF) chains is much less than the number of antennas equipped at each transceiver. The proposed…

信息论 · 计算机科学 2017-02-28 Lou Zhao , Derrick Wing Kwan Ng , Jinhong Yuan

As a key technology to meet the ever-increasing data rate demand in beyond 5G and 6G communications, millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems have gained much attention recently.To make the most of…

信息论 · 计算机科学 2024-10-10 Hyungyu Ju , Seokhyun Jeong , Seungnyun Kim , Byungju Lee , Byonghyo Shim

Channel estimation is useful in millimeter wave (mmWave) MIMO communication systems. Channel state information allows optimized designs of precoders and combiners under different metrics such as mutual information or…

Due to their ability to create favorable line-of-sight (LoS) propagation environments, intelligent reflecting surfaces (IRSs) are regarded as promising enablers for future millimeter-wave (mm-wave) wireless communication. In this paper, we…

信息论 · 计算机科学 2021-07-27 Tian Lin , Xianghao Yu , Yu Zhu , Robert Schober

This paper investigates the robust wideband channel estimation problem in the millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems. In such a scenario, the beam squint effect that the array response vectors vary…

信号处理 · 电气工程与系统科学 2024-09-25 Li Ge , Lin Chen , Xue Jiang , Weifeng Zhu , Qibo Qin , Xingzhao Liu

The recently introduced atomic norm minimization (ANM) framework for parameter estimation is a promising candidate towards low overhead channel estimation in wireless communications. However, previous works on ANM-based channel estimation…

信息论 · 计算机科学 2018-09-05 Stelios Stefanatos , Mahdi Barzegar Khalilsarai , Gerhard Wunder

Intelligent reflecting surfaces (IRSs) are regarded as promising enablers for future millimeter wave (mmWave) wireless communication, due to their ability to create favorable line-of-sight (LoS) propagation environments. In this paper, we…

信息论 · 计算机科学 2020-05-12 Tian Lin , Xianghao Yu , Yu Zhu , Robert Schober

This paper investigates the capability of millimeter-wave (mmWave) channel sounders with phased arrays to perform super-resolution parameter estimation, i.e., determine the parameters of multipath components (MPC), such as direction of…

Large antenna arrays enable directional precoding for Millimeter-Wave (mmWave) systems and provide sufficient link budget to combat the high path-loss at these frequencies. Due to atmospheric conditions and hardware malfunction, outdoor…

Data transmission over the mmWave in fifth-generation wireless networks aims to support very high speed wireless communications. A substantial increase in spectrum efficiency for mmWave transmission can be achieved by using advanced hybrid…

信号处理 · 电气工程与系统科学 2020-03-27 Wei Zhang , Taejoon Kim , Shu-Hung Leung

In millimeter-wave (mmWave) MIMO systems, while a hybrid digital/analog precoding structure offers the potential to increase the achievable rate, it also faces the challenge of the need of a low-complexity design. In specific, the hybrid…

信息论 · 计算机科学 2016-03-08 Zhenyu Xiao , Pengfei Xia , Xiang-Gen Xia

Hybrid massive MIMO structures with lower hardware complexity and power consumption have been considered as a potential candidate for millimeter wave (mmWave) communications. Channel covariance information can be used for designing…

信号处理 · 电气工程与系统科学 2019-06-25 Rui Hu , Jun Tong , Jiangtao Xi , Qinghua Guo , Yanguang Yu

A reconfigurable intelligent surface (RIS) can shape the radio propagation by passively changing the directions of impinging electromagnetic waves. The optimal control of the RIS requires perfect channel state information (CSI) of all the…

信号处理 · 电气工程与系统科学 2020-02-18 Jiguang He , Markus Leinonen , Henk Wymeersch , Markku Juntti