Joint Transceiver and Large Intelligent Surface Design for Massive MIMO mmWave Systems

Wang, Peilan; Fang, Jun; Dai, Linglong; Li, Hongbin

doi:10.1109/twc.2020.3030570

Cited by 148 publications

(171 citation statements)

References 42 publications

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“…Compared with existing multi-antenna systems [4]- [9], it has been demonstrated that RISaided systems have the potential to achieve better performance in terms of cost and energy consumption [10]- [16]. Recently, RISs have been considered for integration into various communication scenarios, such as terahertz, sub-terahertz, and millimeter-wave systems [17], [18], simultaneous wireless information and power transfer (SWIPT) [19], unmanned aerial vehicle (UAV) communications [20], cell-free systems [21], physical-layer security [22]- [24], mobile edge computing (MEC) [25]- [27], device-to-device (D2D) communications [28], [29] and so on. Furthermore, the effectiveness of RIS-aided systems in the presence of practical imperfections has been demonstrated in [30]- [34].…”

Section: Introductionmentioning

confidence: 99%

Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Direct Links

Zhi

Pan

Ren

et al. 2021

IEEE Wireless Commun. Lett.

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This paper investigates the performance of reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (mMIMO) systems with direct links, and the phase shifts of the RIS are designed based on the statistical channel state information (CSI). We first derive the closed-form expression of the uplink ergodic data rate. Then, based on the derived expression, we use the genetic algorithm (GA) to solve the sum data rate maximization problem. With low-complexity maximal-ratio combination (MRC) and low-overhead statistical CSI-based scheme, we validate that the RIS can bring significant performance gains to the traditional mMIMO systems.

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Section: Introductionmentioning

confidence: 99%

Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Direct Links

Zhi

Pan

Ren

et al. 2021

IEEE Wireless Commun. Lett.

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“…In [95], an IRS-assisted downlink mmWave MIMO single-user and multi-stream system with hybrid precoding/combining and NLOS conditions has been approached. The authors focus on maximizing the SE by jointly optimizing the IRS phase-shift matrix and the hybrid transceiver.…”

Section: Hybrid Transceivers For Mmwave Irs-assisted Systemsmentioning

confidence: 99%

Intelligent Reflective Surfaces for Wireless Networks: An Overview of Applications, Approached Issues, and Open Problems

et al. 2021

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An intelligent reflective surface (IRS) is a novel and revolutionizing communication technology destined to enable the control of the radio environment. An IRS is a real-time controllable reflectarray with a massive number of low-cost passive elements which introduce a phase shift to the incoming signals from the sources before the propagation towards the destination. This technology introduces the notion of a smart propagation environment with the aim of improving the system performance. In this paper, we provide a comprehensive literature overview on IRS technology, including its basic concepts and reconfiguration, as well as its design aspects and applications for wireless communication systems. We also study the performance metrics and the setups considered in recent publications related to IRS and provide suggestions of future research lines based on still unexplored use cases in the state-of-the-art.

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“…1 Since mmWave MIMO system is obstacles sensitive, the emerging reconfigurable intelligent surface (RIS) technology is proposed to overcome this drawback recently. [2][3][4][5] All elements of the RIS are passive reflecting antennas designed to reflect the incident signals towards any intended direction are positioned in a surface of which phase shifts can be controlled by base station (BS) through a smart microcontroller. Base on the hardware architecture of RIS, a joint passive beamforming at the RIS and active beamforming/combining at the BS/user equipment (UE) scheme is proposed recently.…”

Section: Introductionmentioning

confidence: 99%

“…Base on the hardware architecture of RIS, a joint passive beamforming at the RIS and active beamforming/combining at the BS/user equipment (UE) scheme is proposed recently. 4,5 In Reference 4, the manifold optimization-based algorithm is proposed to design the phase shifts vector of RIS and the hybrid beamforming/combining matrices at the BS and UE for a point-to-point system, respectively. In Reference 5, the weighted sum-rate maximization problem for the RIS-assisted multiuser MISO system is optimized by the proposed nonconvex block coordinate descent method and stochastic successive convex approximation technique.…”

Section: Introductionmentioning

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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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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Joint Transceiver and Large Intelligent Surface Design for Massive MIMO mmWave Systems

Cited by 148 publications

References 42 publications

Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Direct Links

Statistical CSI-Based Design for Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With Direct Links

Intelligent Reflective Surfaces for Wireless Networks: An Overview of Applications, Approached Issues, and Open Problems

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

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