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Non-Orthogonal Multiple Access (NOMA) schemes are being actively explored to address some of the major challenges in 5th Generation (5G) Wireless communications. Channel estimation is exceptionally challenging in scenarios where NOMA…

信号处理 · 电气工程与系统科学 2021-08-03 Anu T S , Tara Raveendran

We develop a method to jointly estimate the carrier frequency offset (CFO) and the narrowband channel in millimeter wave (mmWave) MIMO systems operating with one-bit analog-to-digital converters (ADCs). We assume perfect timing…

信息论 · 计算机科学 2018-06-06 Nitin Jonathan Myers , Robert W. Heath

In this paper, we propose a location-aware channel estimation based on the atomic norm minimization (ANM) for the reconfigurable intelligent surface (RIS)-aided millimeter-wave multiple-input-multiple-output (MIMO) systems. The beam…

信号处理 · 电气工程与系统科学 2023-06-13 Hyeonjin Chung , Sunwoo Kim

Millimeter wave (mmWave) has been claimed to be the only viable solution for high-bandwidth vehicular communications. However, frequent channel estimation and beamforming required to provide a satisfactory quality of service limits mmWave…

信号处理 · 电气工程与系统科学 2019-09-26 Sina Shaham , Ming Ding , Matthew Kokshoorn , Zihuai Lin , Shuping Dang , Rana Abbas

This paper is concerned with the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the mmWave channel, we first propose a fast channel estimation…

信息论 · 计算机科学 2016-11-17 Matthew Kokshoorn , He Chen , Peng Wang , Yonghui Li , Branka Vucetic

Millimeter wave (mmWave) multiple-input-multi-output (MIMO) is now a reality with great potential for further improvement. We study full-duplex transmissions as an effective way to improve mmWave MIMO systems. Compared to half-duplex…

信息论 · 计算机科学 2025-01-31 Mehdi Sattari , Hao Guo , Deniz Gündüz , Ashkan Panahi , Tommy Svensson

This paper proposes the use of subspace tracking algorithms for performing MIMO channel estimation at millimeter wave (mmWave) frequencies. Using a subspace approach, we develop a protocol enabling the estimation of the right (resp. left)…

信息论 · 计算机科学 2017-04-25 Stefano Buzzi , Carmen D'Andrea

Millimeter-wave (mm-Wave) cellular systems are a promising option for a very high data rate communication because of the large bandwidth available at mm-Wave frequencies. Due to the large path-loss exponent in the mm-Wave range of the…

信息论 · 计算机科学 2015-11-06 Saeid Haghighatshoar , Giuseppe Caire

Future wireless multiple-input multiple-output (MIMO) communication systems will employ sub-6 GHz and millimeter wave (mmWave) frequency bands working cooperatively. Establishing a MIMO communication link usually relies on estimating…

We develop a direction of arrival (DoA) and channel estimation algorithm for the one-bit quantized millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) system. By formulating the estimation problem as a noisy one-bit…

信号处理 · 电气工程与系统科学 2019-09-24 Liangyuan Xu , Feifei Gao , Cheng Qian

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

In this paper, we consider the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the mmWave channel, we develop a novel rate-adaptive channel…

信息论 · 计算机科学 2016-09-12 Matthew Kokshoorn , He Chen , Yonghui Li , Branka Vucetic

Millimeter wave is a promising technology for the next generation of wireless systems. As it is well-known for its high path loss, the systems working in this spectrum tend to exploit the shorter wavelength to equip the transceivers with a…

信息论 · 计算机科学 2018-01-12 Sina Shaham , Matthew Kokshoorn , Zihuai Lin , Ming Ding

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

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

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

The fact that the millimeter-wave (mmWave) multiple-input multiple-output (MIMO) channel has sparse support in the spatial domain has motivated recent compressed sensing (CS)-based mmWave channel estimation methods, where the angles of…

信息论 · 计算机科学 2022-04-19 Wei Zhang , Miaomiao Dong , Taejoon Kim

This paper focuses on multiuser MIMO channel estimation and data transmission at millimeter wave (mmWave) frequencies. The proposed approach relies on the time-division-duplex (TDD) protocol and is based on two distinct phases. First of…

信息论 · 计算机科学 2017-04-25 Stefano Buzzi , Carmen D'Andrea

The surge in mobile broadband data demands is expected to surpass the available spectrum capacity below $6$ GHz. This expectation has prompted the exploration of millimeter wave (mm-wave) frequency bands as a candidate technology for next…

信息论 · 计算机科学 2018-05-31 Yahia Shabara , C. Emre Koksal , Eylem Ekici

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