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The millimeter wave is a promising technique for the next generation of mobile communication. The large antenna array is able to provide sufficient precoding gain to overcome the high pathloss at millimeter wave band. However, the accurate…

信号处理 · 电气工程与系统科学 2018-05-31 Wei Zhang , Shu-Hung Leung , Taejoon Kim

Channel estimation is of critical importance in millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. Due to the use of large antenna arrays, low-complexity mmWave specific channel estimation algorithms are required. In…

信息论 · 计算机科学 2016-12-26 Dalin Zhu , Junil Choi , Robert W. Heath

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

Accurate channel estimation is critical to fully exploit the beamforming gains when communicating with extremely large aperture arrays. The propagation distances between the user and receiver, which potentially has thousands of…

信号处理 · 电气工程与系统科学 2024-02-01 Alva Kosasih , Özlem Tuğfe Demir , Emil Björnson

There has been an increasing interest in the millimeter wave (mmW) frequency regime in the design of next-generation wireless systems. The focus of this work is on understanding mmW channel properties that have an important bearing on the…

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

In this paper, we consider channel estimation for intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) systems, where an IRS is deployed to assist the data transmission from the base station (BS) to a user. It is shown…

信号处理 · 电气工程与系统科学 2020-07-15 Peilan Wang , Jun Fang , Huiping Duan , Hongbin Li

One strategy to obtain user location information in a wireless network operating at millimeter wave (mmWave) is based on the exploitation of the geometric relationships between the channel parameters and the user position. These…

信号处理 · 电气工程与系统科学 2025-03-11 Yun Chen , Nuria González-Prelcic , Takayuki Shimizu , Hongsheng Lu

Millimeter wave (mmW) frequencies between 30 and 300 GHz are a new frontier for cellular communication that offers the promise of orders of magnitude greater bandwidths combined with further gains via beamforming and spatial multiplexing…

网络与互联网体系结构 · 计算机科学 2014-04-29 Sundeep Rangan , Theodore S. Rappaport , Elza Erkip

Millimeter wave wireless systems rely heavily on directional communication in narrow steerable beams. Tools to measure the spatial and temporal nature of the channel are necessary to evaluate beamforming and related algorithms. This paper…

Availability of abundant spectrum has enabled millimeter wave (mm-wave) as a prominent candidate solution for the next generation cellular networks. Highly directional transmissions are essential for exploitation of mm-wave bands to…

信息论 · 计算机科学 2017-09-26 Yilin Li , Jian Luo , Mario Castaneda , Richard Stirling-Gallacher , Wen Xu , Giuseppe Caire

Sensor-aided beamforming reduces the overheads associated with beam training in millimeter-wave (mmWave) multi-input-multi-output (MIMO) communication systems. Most prior work, though, neglects the challenges associated with establishing…

信号处理 · 电气工程与系统科学 2025-09-17 Kartik Patel , Robert W. Heath

This paper addresses the problem of estimating sparse channels in massive MIMO-OFDM systems. Most wireless channels are sparse in nature with large delay spread. In addition, these channels as observed by multiple antennas in a neighborhood…

应用统计 · 统计学 2015-06-22 Mudassir Masood , Laila H. Afify , Tareq Y. Al-Naffouri

Reconfigurable intelligent surface (RIS) has been recognized as a promising technology for next-generation wireless communications. However, the performance of RIS-assisted systems critically depends on accurate channel state information…

信号处理 · 电气工程与系统科学 2026-01-08 Yang Wang , Yin Xu , Cixiao Zhang , Zhiyong Chen , Mingzeng Dai , Haiming Wang , Bingchao Liu , Dazhi He , Meixia Tao

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…

The millimeter wave (mmWave) band, which is a prime candidate for 5G cellular networks, seems attractive for wireless energy harvesting. This is because it will feature large antenna arrays as well as extremely dense base station (BS)…

信息论 · 计算机科学 2017-03-14 Talha Ahmed Khan , Ahmed Alkhateeb , Robert W. Heath

Scaling the number of antennas up is a key characteristic of current and future wireless communication systems. The hardware cost and power consumption, however, motivate large-scale MIMO systems, especially at millimeter wave (mmWave)…

信息论 · 计算机科学 2020-02-26 Yu Zhang , Muhammad Alrabeiah , Ahmed Alkhateeb

Massive multiuser multiple-input multiple-output (MIMO) and millimeter-wave (mmWave) communication are key physical layer technologies in future wireless systems. Their deployment, however, is expected to incur excessive baseband processing…

硬件体系结构 · 计算机科学 2025-11-17 Seyed Hadi Mirfarshbafan , Christoph Studer

This paper investigates the uplink channel estimation of the millimeter-wave (mmWave) extremely large-scale multiple-input-multiple-output (XL-MIMO) communication system in the beam-delay domain, taking into account the near-field and…

信号处理 · 电气工程与系统科学 2024-10-28 Hongwei Hou , Xuan He , Tianhao Fang , Xinping Yi , Wenjin Wang , Shi Jin

Hybrid analog and digital beamforming transceivers are instrumental in addressing the challenge of expensive hardware and high training overheads in the next generation millimeter-wave (mm-Wave) massive MIMO (multiple-input multiple-output)…

信号处理 · 电气工程与系统科学 2022-01-04 Ahmet M. Elbir , Kumar Vijay Mishra , M. R. Bhavani Shankar , Björn Ottersten