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

Li, Binrui; Zhang, Zhongpei; Hu, Zhenzhen

doi:10.1002/ett.4322

Cited by 17 publications

(22 citation statements)

References 36 publications

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“…2 Massive multiple-input multiple-output (MIMO) will be integral to both 5G and 6G due to the need for higher data rates, better spectral and energy efficiency, and higher frequencies. 6G can transit from classical massive MIMO toward smart environments and large intelligent surfaces [3][4][5] that can give massive surfaces for wireless communications.…”

Section: Introductionmentioning

confidence: 99%

“…Intelligent surfaces technology can be applied for simultaneous wireless information and power transfer, physical layer security and nonorthogonal multiple access, mmWave. [3][4][5]…”

Section: Introductionmentioning

confidence: 99%

“…A smart digital controller is adjusted to give real‐time processing on the responses of the reflected signals. Intelligent surfaces technology can be applied for simultaneous wireless information and power transfer, physical layer security and nonorthogonal multiple access, mmWave 3‐5 …”

Section: Introductionmentioning

confidence: 99%

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High mobility transmission system under intelligent reflecting surface

Faragallah

El‐Sayed

El‐Mashed

2022

Trans Emerging Tel Tech

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In wireless communication system with a high mobility scenario, there is a challenge to obtain fast data transmission service with proper stability. Also, it is difficult to obtain perfect channel state information in the high mobility case without large online computation. Intelligent surface has great potential to cost‐effectively enhance the system performance in next generation technology and beyond. In this paper, a railway communication system with the help of intelligent surface technology is proposed for high mobility scenario. We propose an applicable beamforming scheme with the help of mobile station location information for intelligent surface‐aided communication system under high mobility. In our proposed system, the beams from the intelligent surface are chosen based on the mobile stations locations, where the weights of the beams are optimized for maximum total service of base station. Also, we formulate the optimization problem and propose an alternating iterative technique as a solution. The weights and phase matrix of the beams are optimized to maximize the mobile service. An intelligent surface with beam selection scheme is also proposed. Results demonstrate the significant mobile service enhancement introduced by the intelligent surface in railway communication system and show the effectiveness of our proposed scheme. It can reduce the handover region and can save time for data transmission.

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Section: Introductionmentioning

confidence: 99%

“…Intelligent surfaces technology can be applied for simultaneous wireless information and power transfer, physical layer security and nonorthogonal multiple access, mmWave. [3][4][5]…”

Section: Introductionmentioning

confidence: 99%

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High mobility transmission system under intelligent reflecting surface

Faragallah

El‐Sayed

El‐Mashed

2022

Trans Emerging Tel Tech

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“…In Reference 31, the authors have studied a joint power allocation, phase shift, and hybrid beamforming optimization for RIS aided mmWave NOMA. The channel estimation for RIS assisted mmWave MIMO system for multi‐users was studied in Reference 32. In Reference 33, a downlink IRS aided with NOMA for mmWave NOMA communication is proposed.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable intelligent surface assisted downlink INOMA system

Kumar

Sharma

Thottappan

et al. 2022

Trans Emerging Tel Tech

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Nonorthogonal multiple access (NOMA) and reconfigurable intelligent surface (RIS) methods are explored to enhance spectral and energy efficiency of a wireless network. In this article, we have proposed a downlink RIS-assisted index modulation NOMA for next-generation wireless systems, and it is referred to as R-INOMA. In the proposed R-INOMA system, a base station transmits information through RIS to three users, the first user is assigned in the spatial domain and the remaining two users are multiplexed using power domain NOMA. We provide an analytical analysis of bit error probability (BEP) for the proposed R-INOMA system. Impact of number of surfaces, transmit antennas, modulation order, diversity order, and imperfect channel estimation is analyzed for the R-INOMA. Simulation results show that the proposed R-INOMA achieved better BEP and sum-rate over existing NOMA techniques. In the R-INOMA, doubling of the reflecting surfaces provides a 4 dB gain for a fixed error probability, and the sum-rate improves as the number of transmitting antennas and reflecting surfaces increases. INTRODUCTIONReconfigurable intelligent surface (RIS) has emerged as a promising research topic for sixth-generation (6G) wireless communications. [1][2][3][4] RIS changes the behavior of the wireless propagation environment and helps to obtain high-quality signals at the receiver. An RIS is fabricated by meta-surfaces and it consists of a planar structure to have the ability to reflect with low-cost passive elements. 2,5,6 RIS smartly tunes the phase of the incident signals according to the channel environment, and the reflected signals can be constructively added to enhance signal-to-noise (SNR) toward receivers. 1,7 RIS creates a virtual line-of-sight (LOS) propagation path between transmitter and receivers. Therefore, RIS improves the network coverage, spectral, and energy efficiency. [8][9][10] On the other hand, index modulation (IM) and nonorthogonal multiple access (NOMA) are a promising technology for fifth-generation (5G) and beyond wireless networks to enhance spectrum efficiency and support massive connectivity. 11-16 IM-based spatial modulation (SM) transmits information using antenna indices along with modulation symbols of M-ary phase shift keying or M-ary quadrature amplitude modulation (QAM), therefore it increases the data transmission rate. Moreover, SM transmits information in a single activated antenna in multiple-inputs and multiple-output (MIMO) system by using a single radio frequency (RF) chain. 17,18 Further, a combination of IM and NOMA (IM-NOMA) can serve simultaneously more users at the same time/frequency without the effect of inter-user interference (IUI) [19][20][21] and it consists of superposition coding (SC) at the base station (BS) and successive interference cancelation (SIC) at the receivers. 22

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“…For instance, [32]- [35], consider RISs operating under finite resolution of the phase shifts or phase estimation errors from imperfect channel estimation. Then, [36] and [37] consider different environmental effects on the RIS and propose methods to jointly estimate the channel and array blockage parameters in mmWave RIS-assisted systems.…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections

Gomes¹,

Araújo²,

Sokal³

et al. 2022

Preprint

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Reconfigurable intelligent surface (RIS) is a potential technology component of future wireless networks due to its capability of shaping the wireless environment. The promising gains of RIS-assisted multiple-input multiple-output (MIMO) systems in terms of extended coverage and enhanced capacity are, however, critically dependent on the accuracy of the channel state information. However, traditional channel estimation schemes are not applicable in RIS-assisted MIMO networks, since passive RISs typically lack the signal processing capabilities that are assumed by channel estimation algorithms. This becomes most problematic when physical imperfections or electronic impairments affect the RIS due to its exposition to different environmental effects or caused by hardware limitations from the circuitry. While these real-world effects are typically ignored in the literature, in this paper we propose efficient channel estimation schemes for RIS-assisted MIMO systems taking different imperfections into account. Specifically, we propose two sets of tensor-based algorithms, based on the parallel factor analysis decomposition schemes. First, by assuming a long-term model -in which the RIS imperfections, modeled as unknown phase shifts, are static within the channel coherence timewe formulate an iterative alternating least squares (ALS)-based algorithm for the joint estimation of the communication channels and the unknown phase deviations. Next, we develop the shortterm imperfection model, which allows both amplitude and phase RIS imperfections to be non-static with respect to the channel coherence time. We propose two iterative ALS-based and closed-form higher order singular value decomposition-based algorithms for the joint estimation of the channels and the unknown impairments. Moreover, we analyze the identifiability and computational complexity of the proposed algorithms and study the effects of various imperfections on the channel estimation quality. Simulation results demonstrate the effectiveness of the proposed tensor-based algorithms in terms of estimation accuracy and computational complexity.Index Terms-Alternating least squares (ALS), channel estimation, hardware impairments, higher-order singular value decomposition (HOSVD), imperfection detection, multiple input multiple output (MIMO), parallel factor analysis (PARAFAC), reconfigurable intelligent surface (RIS).

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

Cited by 17 publications

References 36 publications

High mobility transmission system under intelligent reflecting surface

High mobility transmission system under intelligent reflecting surface

Reconfigurable intelligent surface assisted downlink INOMA system

Channel Estimation in RIS-Assisted MIMO Systems Operating Under Imperfections

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