Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems [PDF]
IEEE Transactions on Signal Processing, 2021 Reconfigurable intelligent surface (RIS) is a promising device that can reconfigure the electromagnetic propagation environment through adjustment of the phase shifts of its reflecting elements. However, channel estimation in RIS-aided multiuser multiple-
Gui Zhou +4 more
semanticscholar +1 more source
Deep Learning-Based Channel Estimation for mmWave Massive MIMO Systems in Mixed-ADC Architecture. [PDF]
Sensors (Basel), 2022 Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) systems can significantly reduce the number of radio frequency (RF) chains by using lens antenna arrays, because it is usually the case that the number of RF chains is often much ...
Zhang R, Tan W, Nie W, Wu X, Liu T.
europepmc +2 more sources
Hybrid Evolutionary-Based Sparse Channel Estimation for IRS-Assisted mmWave MIMO Systems
IEEE Transactions on Wireless Communications, 2022 The intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) communication system has emerged as a promising technology for coverage extension and capacity enhancement.
Zhen Chen +5 more
semanticscholar +1 more source
Joint Pilot Optimization, Target Detection and Channel Estimation for Integrated Sensing and Communication Systems [PDF]
IEEE Transactions on Wireless Communications, 2022 Radar sensing will be integrated into the 6G communication system to support various applications. In this integrated sensing and communication system, a radar target may also be a communication channel scatterer.
Zhe Huang +5 more
semanticscholar +1 more source
Compressed Channel Estimation for Intelligent Reflecting Surface-Assisted Millimeter Wave Systems
IEEE Signal Processing Letters, 2020 In this letter, 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.
Peilan Wang +3 more
semanticscholar +1 more source
Intelligent Reflecting Surface-Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design [PDF]
IEEE Open Journal of the Communications Society, 2020 The concept of reconfiguring wireless propagation environments using intelligent reflecting surfaces (IRS)s has recently emerged, where an IRS comprises of a large number of passive reflecting elements that can smartly reflect the impinging ...
Qurrat-Ul-Ain Nadeem +4 more
semanticscholar +1 more source
Channel Estimation and Hybrid Combining for Wideband Terahertz Massive MIMO Systems [PDF]
IEEE Journal on Selected Areas in Communications, 2021 Terahertz (THz) communication is widely considered as a key enabler for future 6G wireless systems. However, THz links are subject to high propagation losses and inter-symbol interference due to the frequency selectivity of the channel.
Konstantinos Dovelos +3 more
semanticscholar +1 more source
Channel Estimation for Millimeter Wave Massive MIMO Systems Using Separable Compressive Sensing
IEEE Access, 2021 Channel estimation is a fundamental problem for downlink transmission in millimeter wave (mmWave) multiple input multiple output (MIMO) systems. This paper proposes a channel estimation algorithm by exploiting the separable structured sparsity of mmWave ...
Ting Jiang +3 more
doaj +1 more source
Channel Estimation for RIS Assisted Wireless Communications—Part I: Fundamentals, Solutions, and Future Opportunities [PDF]
IEEE Communications Letters, 2021 The reconfigurable intelligent surface (RIS) with low hardware cost and energy consumption has been recognized as a potential technique for future 6G communications to enhance coverage and capacity.
Xiuhong Wei, Decai Shen, L. Dai
semanticscholar +1 more source
Fast Sparse Bayesian Learning-Based Channel Estimation for Underwater Acoustic OFDM Systems
Applied Sciences, 2022 Harsh underwater channels and energy constraints are the two critical issues of underwater acoustic (UWA) communications. To achieve a high channel estimation performance under a severe underwater channel, sparse Bayesian learning (SBL)-based channel ...
Yong-Ho Cho
doaj +1 more source