Joint Array Diagnosis and Channel Estimation for RIS-Aided mmWave MIMO System

Li, Binrui; Zhang, Zhongpei; Hu, Zhenzhen; Chen, Yang

doi:10.1109/access.2020.3032775

Cited by 35 publications

(24 citation statements)

References 32 publications

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“…Therefore, we propose TSOMPABC algorithm to estimate x k and e according to our previous work. 33 In the TSOMPABC algorithm, e is considered as a global variable and x k , ∀k ∈ [1, ..., K] are considered as a series of local variables. Obviously, the observations of kth UE y k only samples the information of global variable and local variable from itself x k .…”

Section: Tsompabc Algorithmmentioning

confidence: 99%

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Channel estimation for reconfigurable intelligent surface‐assisted multiuser mmWave MIMO system in the presence of array blockage

Zhang

2021

Trans Emerging Tel Tech

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In this article, we focus on the channel estimation problem for reconfigurable intelligent surface (RIS)-assisted multiuser mmWave MIMO system. The main challenge for channel estimation of this system lies in that all elements of the RIS are passive reflecting antennas incapable of processing signals, which are designed to reflect the incident signals by a certain phase shift. Meanwhile, considering that array blockage is often present at the RIS working in mmWave band, the channel estimation problem becomes more challenging. By introducing the effective channel model derived from the cascaded channel model among the base station (BS), the RIS, and the user equipment, we formulate the original problem to estimate the effective channel and array blockage matrix jointly. For the single-user scenario, we propose the orthogonal matching pursuit-array blockage calibration (OMPABC) algorithm to complete this estimation problem. In the multiuser scenario, with the aid of channel estimation scheme based on feedback, all the channel matrices of UEs and array blockage matrix are estimated at the BS jointly. Furthermore, in the small number of UEs case, we introduce the common support among the different UEs and extend this property to the effective channel. Utilizing the property, we propose the joint OMPABC algorithm to estimate the effective channel of all UEs and array blockage matrix jointly. Finally, in the large number of UEs case, we propose the two-space-scale OMPABC algorithm with a low computational complexity. The simulation results illustrate our proposed algorithms can effectively improve the estimation performance.

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Section: Tsompabc Algorithmmentioning

confidence: 99%

“…4: Solve the QCQP problem Equation (30) to update the intermediate variable êk with standard convex optimization method. 5: The global variable e k is updated according to Equation (33).…”

Section: Tsompabc Algorithmmentioning

confidence: 99%

Channel estimation for reconfigurable intelligent surface‐assisted multiuser mmWave MIMO system in the presence of array blockage

Zhang

2021

Trans Emerging Tel Tech

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“…Through (7), we have obtained the spatial multi-dimensional samples that removes the influence of noise as much as possible, and hope to recover h BR fromh BA . F (θ) Ω T A(θ), thenh…”

Section: A Pilot Signal Processingmentioning

confidence: 99%

Multipath Separation and Parameter Estimation by Single RIS Antenna in Fading Channel

Lou¹

2021

Preprint

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Channel identification and measurement accuracywill greatly affect wireless communication performance. Thebroadcasting of electromagnetic waves will produce multipath,and its superposition will lead to fading. If the multipath canbe separated and the phase of each path can be adjustedseparately, better signal transmission and reception strategiescan be designed to weaken or eliminate fading and improvesignal transmission performance. In this paper, we first analyzethe multipath structure of the wireless channel, then utilize thedynamic isomeric characteristics of the reconfigurable intelligentsurface (RIS) antenna, also called dynamic metamaterial antenna(DMA), to form differentiated patterns, and rapidly sampleswithin a period of single pilot symbol, so that a group ofmultipath signals are projected on multiple patterns and pathscan be separated and measured. We simulated and evaluated the normalized mean square error of the parameter estimates, including angle of arrival and path gain of channels underdifferent conditions. The results demonstrate that even single1-bi coding RIS antenna can achieve well multipath separationand parameter estimation effects.

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“…Millimeter Wave (mmW: 30 GHz -300 GHz) and Terahertz (THz: 300 GHz -3 THz) boasts of a broad spectrum and has been widely considered for one of the next-generation 6G wireless communication techniques to resolve the ever increasing demand on data capacity and speed. Due to its smaller wavelength, mmW/THz 6G wireless communication allows for easy deployment of massive antenna arrays for Multiple Input Multiple Output (MIMO) wireless communication [1], [2], for example, Reconfigurable Intelligent Surface [3]- [8] and Large Intelligent Surface [9]- [11] (RIS/LIS) MIMO and even holographic MIMO [12], to realize many important functions such as beamforming [13], massive MIMO (mMIMO) wireless communication [14] and even Compressed Sensing (CS [15]- [19]) that makes use of the spatial diversity for higher data rate.…”

Section: Introductionmentioning

confidence: 99%

Computational Electromagnetics for Efficient Control Design of Massive MIMO and Beyond

Liao¹,

Ou²,

Liu³

et al. 2021

Preprint

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As Multiple Inputs Multiple Outputs (MIMO) is becoming one of the enable techniques in modern wireless communication like 5G/6G and beyond, it is important to design efficient controls for the MIMO antenna arrays to realize critical functions such as high-throughput communication and beamforming. Efficient and rigorous Computational Electromagnetics (CEM) algorithms are key for such control design problem, especially for massive MIMO antenna arrays and beyond. Here we present such universal Fast Fourier Transform (FFT) based iterative CEM algorithm for efficient control design of massive MIMO antenna array and beyond, for example Reconfigurable Intelligent Surface and Large Intelligent Surface (RIS/LIS) MIMO. Our FFT-based iterative CEM algorithm is universal and works for both discrete MIMO and quasi-continuous RIS/LIS MIMO under various realistic amplitude and phase control constraints. It makes use of the translation invariant property of the dyadic function of the MIMO antenna arrays and compute the convolution operator in the spectral domain. Then it updates the control parameters iteratively under the control amplitude and control phase constraints, with the incident field and the target output field as inputs. Due to the use of FFT, the computational effort of the algorithm scales as NlogN for N = Nx Ny MIMO antennas, compared to N^3 of the direct solving method of the linear equation. Numerical simulation for 6G beamforming of both discrete MIMO and RIS/LIS MIMO under various control design constraints has been carried out to show the efficiency of the algorithm.

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Joint Array Diagnosis and Channel Estimation for RIS-Aided mmWave MIMO System

Cited by 35 publications

References 32 publications

Channel estimation for reconfigurable intelligent surface‐assisted multiuser mmWave MIMO system in the presence of array blockage

Channel estimation for reconfigurable intelligent surface‐assisted multiuser mmWave MIMO system in the presence of array blockage

Multipath Separation and Parameter Estimation by Single RIS Antenna in Fading Channel

Computational Electromagnetics for Efficient Control Design of Massive MIMO and Beyond

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