Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI

By Yu Han, Wankai Tang, Shi Jin, Chao-Kai Wen, Xiaoli Ma. IEEE Transactions on Vehicular Technology, 2018

798 citations recorded by the source corpus.

Large intelligent surface (LIS)-assisted wireless communications have drawn attention worldwide. With the use of low-cost LIS on building walls, signals can be reflected by the LIS and sent out along desired directions by controlling its phases, thereby providing supplementary links for wireless communication systems. In this paper, we evaluate the performance of an LIS-assisted large-scale antenna system by formulating a tight upper bound of the ergodic spectral efficiency and investigate the effect of the phase shifts on the ergodic spectral efficiency in different propagation scenarios. In particular, we propose an optimal phase shift design based on the upper bound of the ergodic spectral efficiency and statistical channel state information. Furthermore, we derive the requirement on the quantization bits of the LIS to promise an acceptable spectral efficiency degradation. Numerical results show that using the proposed phase shift design can achieve the maximum ergodic spectral efficiency, and a 2-bit quantizer is sufficient to ensure spectral efficiency degradation of no more than 1 bit/s/Hz.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/dfa1802dfddb13874469db17cf832bdcb34cd151

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Electrical and Electronic Engineering

Citations in the corpus

Wireless Communications With Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement (2019, background): “The impact of hardware imperfections, like discrete phase-shift and phase-dependent amplitude, was studied in [29], [33], [34].”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “In [186], the authors evaluate the ergodic spectral efficiency of an RIS-assisted large-scale antenna system.”
A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future (2020, background): “Also, as demonstrated in [103], RSS can substantially improve data rates.”
Reconfigurable Intelligent Surface Assisted UAV Communication: Joint Trajectory Design and Passive Beamforming (2019, background): “For clarity, unlike a uniform rectangular array (URA) at the IRS, which can be regarded as a specular reflector [5], we utilize a ULA at the RIS in this letter.”
Latency Minimization for Intelligent Reflecting Surface Aided Mobile Edge Computing (2019, background): “2) Intelligent Reflecting Surface Aided Wireless Networks: In order to explore the benefits of IRSs in wireless communications, extensive research efforts have been invested into their ergodic capacity analysis [19], channel estimation [20], and practical reflection phase shift modeling [21], as wel”
Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks (2019, methodology): “Same as [25] and [39], we further assume that the antenna elements form a half-wavelength uniform linear array configuration at the AP and the RIS, and thus the channels G and”
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead (2020, background): “In [185], the authors evaluate the ergodic spectral efficiency of an RIS-assisted large-scale antenna system.”
Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems (2020, methodology): “In this ﬁgure, we consider a scenario similar with [7], where the IRS is placed without the knowledge of the BS’s location, the Rician K -factors are set to K 1 = K 2 = 10 , and the horizontal BS-user distance d = 48 m.”
Exploiting Intelligent Reflecting Surfaces in NOMA Networks: Joint Beamforming Optimization (2019, methodology): “The minimum requirement on the number of resolution bits of the IRS was derived by Han et al. [40] to achieve an acceptable ergodic SE performance.”
A Survey on Channel Estimation and Practical Passive Beamforming Design for Intelligent Reflecting Surface Aided Wireless Communications (2021, background): “Specifically, by assuming Rician fading for all IRS-associated channels and Rayleigh fading for the BS-user channel, the authors in [151] derived an upper bound of the system ergodic rate and then obtained the optimal long-”
Modeling and Architecture Design of Reconfigurable Intelligent Surfaces Using Scattering Parameter Network Analysis (2020, background): “In addition, research on optimizing RIS aided wireless systems with discrete phase shifts [25], [26], statistic and imperfect channel state information (CSI) [27], [28] and deep learning [29], [30] has also been conducted.”
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications (2020, background): “It was shown in [12], [13] that the latter gains are large even in the case of RISs with finite resolution unit elements and statistical channel knowledge.”
Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey (2019, methodology): “Similar observations and implications are also made in [128], [130].”
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning (2020, background): “The authors in [17] derived a closed-form expression for the phase shifts for reflecting RIS assisted MISO systems when only the statistical channel state information (CSI) is available.”
Multicell MIMO Communications Relying on Intelligent Reflecting Surfaces (2019, background): “Most recently, some initial efforts have been devoted to the transmitter design of IRS-assisted wireless communication systems, including the single-user case of [15]–[18], the downlink multiuser case of [19]–[23], wireless power transfer design of [24], mobile edge computing of [25], multicast scen”
Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication (2019, methodology): “Second, based on the available CSI, how to optimize the IRS reﬂection coefﬁcients (also termed as “passive beamforming” design) to maximally reap the IRS performance gains is another crucial problem, which has been studied under various system and channel setups [10]–[20].”
Hybrid Beamforming for Reconfigurable Intelligent Surface based Multi-User Communications: Achievable Rates With Limited Discrete Phase Shifts (2019, background): “To exploit the potential of RIS techniques, many existing works have considered the RIS as a reflection-type surface deployed between sources and destinations in either point-to-point communications [5], [10]–[12] or multi-user (MU) systems [13]–[17].”