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

Zhi, Kangda; Pan, Cunhua; Ren, Hong; Wang, Kezhi

doi:10.1109/lwc.2021.3059938

Cited by 121 publications

(92 citation statements)

References 56 publications

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“…1, one algorithm needs to be developed to solve the optimization problem based on the long-term CSI. Since the closed-form analytical expression of the ergodic data rate is not available, we propose a novel DDPG-based method to solve Problem (10).…”

Section: B Drl Descriptionmentioning

confidence: 99%

Long-Term CSI-Based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Ren¹,

Pan²,

Wang³

et al. 2022

IEEE Commun. Lett.

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In this paper, we study the transmission design for reconfigurable intelligent surface (RIS)-aided multiuser communication networks. Different from most of the existing contributions, we consider long-term CSI-based transmission design, where both the beamforming vectors at the base station (BS) and the phase shifts at the RIS are designed based on long-term CSI, which can significantly reduce the channel estimation overhead. Due to the lack of explicit ergodic data rate expression, we propose a novel deep deterministic policy gradient (DDPG) based algorithm to solve the optimization problem, which was trained by using the channel vectors generated in an offline manner. Simulation results demonstrate that the achievable net throughput is higher than that achieved by the conventional instantaneous-CSI based scheme when taking the channel estimation overhead into account.

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Section: B Drl Descriptionmentioning

confidence: 99%

Long-Term CSI-Based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Ren¹,

Pan²,

Wang³

et al. 2022

IEEE Commun. Lett.

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“…Inspired by the above benefits, the two-timescale design has been recently exploited in RIS-aided massive MIMO systems [10]. It has demonstrated that by integrating an RIS into conventional massive MIMO systems, the rate performance can be significantly improved, especially when the original direct links are weak due to the blockage.…”

Section: Introductionmentioning

confidence: 99%

“…It has demonstrated that by integrating an RIS into conventional massive MIMO systems, the rate performance can be significantly improved, especially when the original direct links are weak due to the blockage. However, only the simple maximum-ratio combining (MRC) detector was considered in [10], and it was revealed that the achieved gains are limited by the multi-user interference. Therefore, it is expected that the zero-forcing (ZF) detector, which can effectively mitigate this interference, is more suitable for RIS-aided massive MIMO systems.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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).

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“…IRS can modify the signal propagation by dynamically adjusting its reflection coefficients such that the desired and interfering signals can be enhanced and suppressed, respectively. As a result, by smartly coordinating these reflecting elements, IRS is able to create a favorable signal propagation environment to improve the wireless communication coverage, throughput, and energy efficiency substantially [6]- [10]. The authors of [6] developed a block coordinate descent (BCD) technique to minimize the latency for the IRS-aided mobile edge computing (MEC) system.…”

Section: Introductionmentioning

confidence: 99%

“…In [7], resource allocation for IRS-assisted wireless-powered MEC has been further investigated. Moreover, the authors of [8]- [10] developed efficient algorithms via exploiting the channel statistics to reduce the system overhead in IRS-aided systems.…”

Section: Introductionmentioning

confidence: 99%

Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems

Liu

Juntti

2021

IEEE Commun. Lett.

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In this letter, we investigate an intelligent reflecting surface (IRS) aided device-to-device (D2D) offloading system, where an IRS is employed to assist in computation offloading from a group of users with intensive tasks to another group of idle users. To minimize the system latency while cutting down the heavy overhead in exchange of channel state information (CSI), we study the joint design of beamforming and resource allocation on mixed timescales. Specifically, the high-dimensional passive beamforming vector at the IRS is updated in a frame-based manner based on the channel statistics, where each frame consists of a number of time slots, while the offloading ratio and user matching strategy are optimized relied on the low-dimensional real-time effective channel coefficients in each time slot. A novel mixed-integer stochastic successive convex approximation (MISS-CA) algorithm is proposed to tackle the challenging problem. The convergence property and the computational complexity of the proposed algorithm are then examined. Simulation results show that our proposed algorithm significantly outperforms the conventional benchmarks.

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

Cited by 121 publications

References 56 publications

Long-Term CSI-Based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning

Long-Term CSI-Based Design for RIS-Aided Multiuser MISO Systems Exploiting Deep Reinforcement Learning

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

Latency Minimization in Intelligent Reflecting Surface Assisted D2D Offloading Systems

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