Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation, Phase Shifts, and Hybrid Beamforming Optimization

Xiu, Yue; Zhao, Jun; Sun, Wei; Renzo, Marco Di; Gui, Guan; Zhang, Zhongpei; Wei, Ning

doi:10.1109/twc.2021.3092597

Cited by 97 publications

(56 citation statements)

References 30 publications

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“…3) Robust Beamforming: Many existing works on beamforming are based on known user positions and perfect CSI at BSs [44]- [46]. In fact, it is hard for BSs to obtain accurate user position because of mobility and Global Positioning System (GPS) positioning error.…”

Section: Rfmentioning

confidence: 99%

Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

Xiao¹,

Han²,

Nallanathan³

et al. 2021

Preprint

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Antenna arrays have a long history of more than 100 years and have evolved closely with the development of electronic and information technologies, playing an indispensable role in wireless communications and radar. With the rapid development of electronic and information technologies, the demand for all-time, all-domain, and full-space network services has exploded, and new communication requirements have been put forward on various space/air/ground platforms. To meet the ever increasing requirements of the future sixth generation (6G) wireless communications, such as high capacity, wide coverage, low latency, and strong robustness, it is promising to employ different types of antenna arrays (e.g., phased arrays, digital arrays, and reconfigurable intelligent surfaces, etc.) with various beamforming technologies (e.g., analog beamforming, digital beamforming, hybrid beamforming, and passive beamforming, etc.) in space/air/ground communication networks, bringing in advantages such as considerable antenna gains, multiplexing gains, and diversity gains. However, enabling antenna array for space/air/ground communication networks poses specific, distinctive and tricky challenges, which has aroused extensive research attention. This paper aims to overview the field of antenna array enabled space/air/ground communications and networking. The technical potentials and challenges of antenna array enabled space/air/ground communications and networking are presented first. Subsequently, the antenna array structures and designs are discussed. We then discuss various emerging technologies facilitated by antenna arrays to meet the new communication requirements of space/air/ground communication systems. Enabled by these emerging technologies, the distinct characteristics, challenges, and solutions for space communications, airborne communications, and ground communications are

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Section: Rfmentioning

confidence: 99%

Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

Xiao¹,

Han²,

Nallanathan³

et al. 2021

Preprint

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“…Furthermore, to exploit the potential of IRS in mmWave communication systems, in [27], the authors studied the hybrid precoding for IRS-enabled mmWave system, where a gradientprojection approach was presented. Then, in [28], the authors investigated an IRS-enhanced mmWave non-orthogonal multiple access (NOMA) network, where a MO based method was developed to design the power allocation, phase shifters, and the hybrid BF. Also, in [29], the hybrid BF and phase shift design in mmWave multi-user MISO channel was studied.…”

Section: Introductionmentioning

confidence: 99%

Double Intelligent Reflecting Surface-Assisted Multi-User MIMO Mmwave Systems With Hybrid Precoding

Niu

Chu

Zhou

et al. 2022

IEEE Trans. Veh. Technol.

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“…In specific, the work [24] considers the individual design of the digital beamformer, the analog beamformer, and the RIS phase shifts to achieve low error rate in a wideband system. The work [25] investigates the WSR maximization in a nonorthogonal multiple access (NOMA) system by jointly designing the power allocation, the RIS phase shifts and the hybrid beamforming vector. Therein, the manifold optimization method is adopted for the design of the phase shifts at both the RIS and the analog beamformer, while the digital beamforming is obtained by the successive convex approximation (SCA) based algorithm.…”

Section: Introductionmentioning

confidence: 99%

Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-aided mmWave MIMO Systems

Li¹,

Guo²,

Tao³

et al. 2022

Preprint

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This paper considers a reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) downlink communication system where hybrid analog-digital beamforming is employed at the base station (BS). We formulate a power minimization problem by jointly optimizing hybrid beamforming at the BS and the response matrix at the RIS, under the signalto-interference-plus-noise ratio (SINR) constraints at all users. The problem is highly challenging to solve due to the nonconvex SINR constraints as well as the unit-modulus phase shift constraints for both the RIS reflection coefficients and the analog beamformer. A two-layer penalty-based algorithm is proposed to decouple variables in SINR constraints, and manifold optimization is adopted to handle the non-convex unitmodulus constraints. We also propose a low-complexity sequential optimization method, which optimizes the RIS reflection coefficients, the analog beamformer, and the digital beamformer sequentially without iteration. Furthermore, the relationship between the power minimization problem and the max-min fairness (MMF) problem is discussed. Simulation results show that the proposed penalty-based algorithm outperforms the stateof-the-art semidefinite relaxation (SDR)-based algorithm. Results also demonstrate that the RIS plays an important role in the power reduction.

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Reconfigurable Intelligent Surfaces Aided mmWave NOMA: Joint Power Allocation, Phase Shifts, and Hybrid Beamforming Optimization

Cited by 97 publications

References 30 publications

Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

Antenna Array Enabled Space/Air/Ground Communications and Networking for 6G

Double Intelligent Reflecting Surface-Assisted Multi-User MIMO Mmwave Systems With Hybrid Precoding

Joint Design of Hybrid Beamforming and Reflection Coefficients in RIS-aided mmWave MIMO Systems

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