Capacity Characterization for Reconfigurable Intelligent Surfaces Assisted Wireless Communications With Interferer

Du, Linsong; Ma, Jianhui; Liang, Qingpeng; Li, Chenxing; Tang, Youxi

doi:10.1109/tcomm.2021.3124958

Cited by 18 publications

(5 citation statements)

References 31 publications

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“…As depicted in Sec. I, the vast majority of the studies ignore the DL between the BS and UE [12], [26], [37]- [39], [43]- [47], [49], [50], [64]. For the articles that consider the DL, they do not consider the impact of the various transmission strategies that can be adopted [27], [51]- [57], [65].…”

Section: B Motivation and Contributionmentioning

confidence: 99%

“…The channel state information (CSI) for all links can be communicated to the BS through a dedicated feedback channel. At the UE side, the CSI can be estimated using various blind or data-aided channel estimation methods [5], [11], [26], [71]- [73]. Although the CSI can not be estimated perfectly, it has been shown in [29] that IRS systems are generally more tolerant to channel estimation errors compared to non-IRS based systems.…”

Section: System and Channel Models A System Modelmentioning

confidence: 99%

“…where t = In this appendix, we will apply partial fraction decomposition on (26) to derive a closed-form expression for the MGF that facilitates closed-form expression of the channel capacity. The corresponding MGF of V is given by M V (s) =…”

Section: Appendices Appendix I: Proof Of Propositionmentioning

confidence: 99%

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Capacity Analysis of Adaptive IRS-Aided Transmission With Direct Link in Nakagami-m Fading Channels

Al-Rimawi,

Al-Dweik,

Siddig

2024

IEEE Trans. Cogn. Commun. Netw.

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This paper introduces a new analytical framework to evaluate the capacity of intelligent reconfigurable surface (IRS) -aided wireless networks in the presence of a direct link (DL). The analysis obtained is used to characterize the signal-to-noise ratio (SNR) at the user equipment (UE) while using adaptive power and rate transmission. In particular, we consider channel inversion with fixed rate, optimum power and rate adaptation, and truncated channel inversion with a fixed rate. The obtained expressions are derived in a unified closed-form. All single-hop channel gains are modeled as independent and identically distributed Nakagami-m fading channels. Consequently, the channels' gains at the receiver become independent and nonidentically distributed. The moment generating function (MGF) is used to derive an accurate approximation of the probability density and cumulative distribution functions of the instantaneous SNR, which are used to evaluate the channel capacity at low and high SNRs to quantify the achievable multiplexing gain. The analytical and simulation results obtained indicated that a strong DL may significantly enhance the channel capacity gain obtained using the IRS. In particular scenarios, the capacity improved by approximately 30% for a large number of IRS elements when the DL Nakagami fading parameter m increases from 2 to 6.

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Section: B Motivation and Contributionmentioning

confidence: 99%

Section: System and Channel Models A System Modelmentioning

confidence: 99%

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Capacity Analysis of Adaptive IRS-Aided Transmission With Direct Link in Nakagami-m Fading Channels

Al-Rimawi,

Al-Dweik,

Siddig

2024

IEEE Trans. Cogn. Commun. Netw.

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“…During the duration of one transmitted symbol, the received signal at the RN is sampled for N times, which is denoted by y R = [y R [1], y R [2], ..., y R [N ]] T . From (3), when the TN sends the symbol a k , the n-th sample can be expressed as…”

Section: Proposed Signal Detectionmentioning

confidence: 99%

Jamming Modulation: An Active Anti-Jamming Scheme

Liu

et al. 2023

IEEE Trans. Wireless Commun.

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Providing quality communications under adversarial electronic attacks, e.g., broadband jamming attacks, is a challenging task. Unlike state-of-the-art approaches which treat jamming signals as destructive interference, this paper presents a novel active anti-jamming (AAJ) scheme for a jammed channel to enhance the communication quality between a transmitter node (TN) and receiver node (RN), where the TN actively exploits the jamming signal as a carrier to send messages. Specifically, the TN is equipped with a programmable-gain amplifier, which is capable of re-modulating the jamming signals for jamming modulation. Considering four typical jamming types, we derive both the bit error rates (BER) and the corresponding optimal detection thresholds of the AAJ scheme. The asymptotic performances of the AAJ scheme are discussed under the high jamming-to-noise ratio (JNR) and sampling rate cases. Our analysis shows that there exists a BER floor for sufficiently large JNR. Simulation results indicate that the proposed AAJ scheme allows the TN to communicate with the RN reliably even under extremely strong and/or broadband jamming. Additionally, we investigate the channel capacity of the proposed AAJ scheme and show that the channel capacity of the AAJ scheme outperforms that of the direct transmission when the JNR is relatively high.

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“…RIS-aided systems have recently been investigated with respect to energy efficiency [5], signal-to-noise ratio (SNR) maximization in a Rayleigh fading model [6], capacity maximization [7] and average biterror rate (BER) in the presence of interference [8]. Further applications of RIS-enabled schemes in the Internet of Things (IoT) [9], cognitive radio networks [10] and massive multiple-input multiple-output (MIMO) [11] has been performed where RIS usage provides better performance in comparison to the non-RIS system. However, except for [5], where the authors specifically compared the RIS-assisted system with the relay-assisted system, other researchers only focused on the comparison between the RIS-aided system and non-aided system.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Reconfigurable Intelligent Surface against Distributed Antenna System at the Cell Edge

et al. 2022

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In small spaces in which typical cell towers cannot be constructed, distributed antenna systems (DASs) are the preferable approach for increasing network coverage, as they are a superior solution for congested, high-volume areas. However, due to their high cost and complexity in backhaul routing, reconfigurable intelligent surfaces (RISs) are a promising solution to overcome the major drawbacks of DAS systems while improving network coverage. Thus, this work investigated a correlation of execution in an RIS-aided system cell framework and DAS-aided system cell framework where a simple and precise structure for the performance measurement of area spectral efficiency (ASE) and energy efficiency (EE) under realistic channel presumptions was introduced. The analysis started with the downlink ergodic capacity with regards to the RIS framework and DAS framework under a generalized Nakagami-m fading channel with the presence of path-loss attenuation and interference from co-channel base stations (BSs), and was simplified further by utilizing a moment-generating function (MGF)-based approach. From the computed expression, the effects of traffic activity, EE and ASE were derived and analyzed for both systems in the presence of co-channel interference. The results were then verified by comparing them with Monte Carlo simulations, and the findings show that the two outcomes generally match. Based on these, it is demonstrated that the ASE performance of the RIS-assisted system in various traffic activity conditions outperforms the DAS-aided system; however, in high signal-to-noise (SNR) regions with full traffic activity, the ASEs are highest for both systems; by only 0.005 bits/s/Hz/km2.

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Capacity Characterization for Reconfigurable Intelligent Surfaces Assisted Wireless Communications With Interferer

Cited by 18 publications

References 31 publications

Capacity Analysis of Adaptive IRS-Aided Transmission With Direct Link in Nakagami-m Fading Channels

Capacity Analysis of Adaptive IRS-Aided Transmission With Direct Link in Nakagami-m Fading Channels

Jamming Modulation: An Active Anti-Jamming Scheme

Performance Evaluation of Reconfigurable Intelligent Surface against Distributed Antenna System at the Cell Edge

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