Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems

Tao, Qin; Wang, Junwei; Zhong, Caijun

doi:10.1109/lcomm.2020.3011843

Cited by 231 publications

(141 citation statements)

References 12 publications

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“…From the mean square value theorem of Dirichlet L-functions [13], by substituting ( 14) and ( 15) into ( 13), the expected value of the received SNR γ R at the DF relay can be derived as (17) (see top of next page). Similarly, we can also obtain the expected value of the received SNR γ U at the user as (18) (see next page).…”

Section: A Tight Upper Boundmentioning

confidence: 99%

Ergodic Rate Analysis and IRS Configuration for Multi-IRS Dual-Hop DF Relaying Systems

et al. 2021

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Intelligent reflecting surface (IRS) has emerged as a promising and low-cost technology for improving wireless communications by collecting dispersed radio waves and redirecting them to the intended receivers. In this letter, we characterize the achievable rate when multiple IRSs are utilized in the manner of decode-and-forward (DF) relaying. Our performance analysis is based on the Nakagami-m fading model with perfect channel state information (CSI). Tight upper bound expressions for the ergodic rate are derived. Moreover, we compare the performance of the multi-IRS DF relaying system with that of the one with a single IRS and confirm the gain. We then optimize the IRS configuration considering the numbers of IRSs and IRS reflecting elements, which provides useful insights for practical design.

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Section: A Tight Upper Boundmentioning

confidence: 99%

Ergodic Rate Analysis and IRS Configuration for Multi-IRS Dual-Hop DF Relaying Systems

et al. 2021

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“…We further provided several feasible solutions on these challenges, in order to implement the IoT networks in smart cities. In future works, we will take a more comprehensive literature review on some other wireless transmission techniques such as the intelligent reflecting surface [44][45][46] or artificial intelligent learning-based algorithms [47][48][49], in order to further enhance the system performance of cacheenabled IoT networks.…”

Section: Discussionmentioning

confidence: 99%

A Survey on the AI and Spectrum Management for Cache‐Enabled Internet of Things in Smart Cities

Chen

Kuang

Zhu³

et al. 2021

Wireless Communications and Mobile Computing

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In this paper, we provide a comprehensive survey for the artificial intelligence and spectrum management, which are used for cache-enabled Internet of Things (IoT) in smart cities. In smart cities, there emerge a lot of new applications such as data collection and communication, environment monitoring, and real-time processing, which cannot be supported by the conventional wireless transmission techniques. Hence, some new wireless transmission techniques should be developed to support the emerging applications in smart cities. In this survey, we focus on the artificial intelligence, spectrum management, and caching techniques, where the interference arises due to the limited spectrum resources. In particular, we first review the current research status of these new techniques and, then, give some challenges on the system design. We further provide several feasible solutions on these challenges, in order to implement the IoT networks in smart cities. Finally, we conclude the work in the part of conclusions and give some discussions on the future works.

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“…Later on, robust design in the presence of imperfect CSI is pursued in [8]- [11]. In addition, the fundamental performance of RIS-assisted single antenna system is studied in [12], while the extension to the multiple antenna system is given in [13]. Moreover, the integration of RIS with various transmission techniques has been considered, including millimeter wave (mmWave) [14], two-way communications [15] and simultaneous wireless information and power transfer (SWIPT) [16].…”

Section: Introductionmentioning

confidence: 99%

User Selection in Reconfigurable Intelligent Surface Assisted Communication Systems

et al. 2021

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This paper presents a detailed investigation on the performance of reconfigurable intelligent surface (RIS)-assisted communication system with user scheduling. Depending on the availability of channel state information (CSI) at the RIS, two separate scenarios are considered, namely without CSI and with CSI. Closed-form expressions are derived for the ergodic capacity of the system in both scenarios. It is found that CSI has a significant impact on the performance of the system. Without CSI, the RIS provides an array gain of N , where N is the number of reflecting elements, and user scheduling provides an multi-user gain of log log M , where M is the number of users. With CSI, the RIS provides an array gain of N 2 , while no multi-user diversity gain can be obtained.

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Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems

Cited by 231 publications

References 12 publications

Ergodic Rate Analysis and IRS Configuration for Multi-IRS Dual-Hop DF Relaying Systems

Ergodic Rate Analysis and IRS Configuration for Multi-IRS Dual-Hop DF Relaying Systems

A Survey on the AI and Spectrum Management for Cache‐Enabled Internet of Things in Smart Cities

User Selection in Reconfigurable Intelligent Surface Assisted Communication Systems

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