Distributed IRS With Statistical Passive Beamforming for MISO Communications

Gao, Yuwei; Xu, Jindan; Xu, Wei; Ng, Derrick Wing Kwan; Alouini, Mohamed‐Slim

doi:10.1109/lwc.2020.3024952

Cited by 61 publications

(36 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A well-acknowledged challenge for the RIS is that it may introduce heavy channel estimation overhead. Fortunately, a novel and more practical countermeasure, named as twotimescale beamforming design, has been proposed and validated by some contributions [5]- [9]. One one hand, the twotimescale scheme aims to design the passive RIS beamforming based on purely statistical channel state information (CSI), and this could effectively reduce the overhead and the energy consumption in the operation of the RIS.…”

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.

121

View full text Add to dashboard Cite

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.

show abstract

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.

121

View full text Add to dashboard Cite

show abstract

“…As a result, the signal-to-interference-plus-noise ratio (SINR) reduces to the ratio of transmit power and noise. Based on (7), the SINR of user k is given by…”

Section: Which Results Inmentioning

confidence: 99%

Ergodic Rate Analysis of Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With ZF Detectors

et al. 2022

View full text Add to dashboard Cite

This letter investigates the reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems with a two-timescale design. First, the zeroforcing (ZF) detector is applied at the base station (BS) based on instantaneous aggregated channel state information (CSI), which is the superposition of the direct channel and the cascaded user-RIS-BS channel. Then, by leveraging the channel statistical property, we derive the closed-form ergodic achievable rate expression. Using a gradient ascent method, we design the RIS passive beamforming relying only on the long-term statistical CSI. We prove that the ergodic rate scales on the order of O (log 2 (M N )), where M and N denote the number of BS antennas and RIS elements, respectively. We also prove the striking superiority of the considered RIS-aided system with ZF detectors over the RIS-free systems and RIS-aided systems with maximum-ratio combining (MRC).

show abstract

“…Specifically, by assuming Rician fading for all IRS-associated channels and Rayleigh fading for the BS-user channel, the authors in [147] derived an upper bound of the system ergodic rate and then obtained the optimal long-term IRS passive beamforming in closed-form that maximizes the upper bound. In [148],…”

Section: ) Statistical Csimentioning

confidence: 99%

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

Zheng¹,

You²,

Mei³

et al. 2021

Preprint

View full text Add to dashboard Cite

Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize smart and reconfigurable radio environment for wireless communications, by digitally controlling the signal reflection via a large number of passive reflecting elements in real time. Different from conventional wireless communication techniques that only adapt to but have no or limited control over dynamic wireless channels, IRS provides a new and cost-effective means to combat the wireless channel impairments in a proactive manner. However, despite its great potential, IRS faces new and unique challenges in its efficient integration into wireless communication systems, especially its channel estimation and passive beamforming design under various practical hardware constraints. In this paper, we provide a comprehensive survey on the up-to-date research in IRS-aided wireless communications, with an emphasis on the promising solutions to tackle practical design issues. Furthermore, we discuss new and emerging IRS architectures and applications as well as their practical design problems to motivate future research.

show abstract

Distributed IRS With Statistical Passive Beamforming for MISO Communications

Cited by 61 publications

References 13 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

Ergodic Rate Analysis of Reconfigurable Intelligent Surface-Aided Massive MIMO Systems With ZF Detectors

A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications

Contact Info

Product

Resources

About