Performance Analyses of RIS-Assisted Stochastic UAV mmWave Relay Communication System With Moment Matching Estimation

Li, Dan; Xu, Guanjun; Gao, Min; Song, Zhaohui; Zhang, Qinyu; Zhang, Wei

doi:10.1109/lwc.2024.3365935

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…The millimeter wave (mmWave) spectrum is an essential element of fifth-generation (5G) and future (6G) wireless communications, as stated in [2]. The mmWave technology offers the benefit of increased capacity [3] and more focused beams [4,5], but it comes with the drawback of greater loss of signal when penetrating buildings. The aforementioned disadvantage is often reduced by employing relays to connect indoor users to outdoor transceivers, along with the implementation of scalable massive multiple-input-multipleoutput (mMIMO) configurations [6,7] to enhance signal coverage [8,9], utilizing nearly optimal linear processing techniques (such as zero-forcing (ZF) and maximum-ratio (MR)), and reducing channel estimation complexity (using achieved channel hardening, among other methods).…”

Section: Introductionmentioning

confidence: 99%

Outdoor-to-Indoor mmWave Relaying with Massive MIMO: Impact of Imperfect Channel Estimation

Bounouader,

Chafnaji,

Benjillali

2024

Electronics

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Assuming incomplete knowledge of the channel state information (CSI), we investigate two scenarios involving millimeter wave (mmWave) relaying to support outdoor-to-indoor communications. We proceed to derive the average signal-to-noise ratio (SNR) expressions for two relaying scenarios and quantify the asymptotic SNR. The performance of the two relaying scenarios is evaluated using the outage probability—for which we have derived closed-form equations—the end-to-end channel capacity, and the energy efficiency. The obtained results are compared with those derived assuming complete knowledge of the CSI. The effect of the imperfect CSI is therefore assessed in relation to the reference of perfect CSI. In these scenarios, an outside base station (BS) in an urban cellular network serves several indoor users. In the context of a two-hop full-duplex (FD) relaying scheme, we initially suggest a method in which the base station (BS) utilizes zero-forcing (ZF) precoding, and we take into account the overall channel response. Furthermore, we make the assumption that the base station (BS) engages in precoding only depending on the response of the channel in the first hop; in this second design, the relay precodes (using the response of the second-hop channel), amplifies, and sends the signals. Both techniques utilize massive multiple-input–multiple-output (mMIMO) arrays to permit transmission. We also present Monte Carlo simulation results to assess the accuracy of our analytical results. Finally, the two systems are compared in terms of channel estimation and precoding complexity, the number of antennas, as well as the number of users. Practical deployment recommendations are formulated at the end of this work.

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Section: Introductionmentioning

confidence: 99%

Outdoor-to-Indoor mmWave Relaying with Massive MIMO: Impact of Imperfect Channel Estimation

Bounouader,

Chafnaji,

Benjillali

2024

Electronics

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Practical downlink satellite‐FSO/RF cooperative relays: Performance analysis and LSTM prediction

Goel,

Bhatia,

Upadhya

2024

Int J Communication

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SummaryThe present research work aims to investigate the reliability of the mixed free space optical (FSO)/radio frequency (RF) decode‐and‐forward (DF) relaying system where the satellite intends to communicate with the ground station through the unmanned aerial vehicles (UAV) as the relay node. Moreover, it has been considered that a second UAV interferes with the intended UAV. The operation of the UAVs has been represented considering the small scale fading, path loss, 3‐D location, and probability of maintaining line‐of‐sight (LoS) and non line of sight (NLoS) links, while FSO link undergoes Malaga distributed turbulence. Using the aforementioned model, the closed form expressions for the outage probability and bit error rate (BER) have been derived. The exact expressions have been extended to obtain the high signal‐to‐noise ratio (SNR) results for the outage probability and BER. The analytical expressions have been numerically evaluated and the results obtained through these expressions have been verified using the Monte Carlo simulations. More importantly, long short‐term memory (LSTM)‐based deep learning model has been trained for prediction of outage probability. The model is trained offline and then utilized to predict the values of the outage probability in online mode with mean square error (MSE) and root mean square error (RMSE) of MSE = −45.02 and RMSE = −18.34 dB.

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Performance Analysis of Random 3D mmWave-Assisted UAV Communication System

Gao,

Xu,

Song

et al. 2024

IEEE Trans. Veh. Technol.

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Performance Analyses of RIS-Assisted Stochastic UAV mmWave Relay Communication System With Moment Matching Estimation

Cited by 3 publications

References 15 publications

Outdoor-to-Indoor mmWave Relaying with Massive MIMO: Impact of Imperfect Channel Estimation

Outdoor-to-Indoor mmWave Relaying with Massive MIMO: Impact of Imperfect Channel Estimation

Practical downlink satellite‐FSO/RF cooperative relays: Performance analysis and LSTM prediction

Performance Analysis of Random 3D mmWave-Assisted UAV Communication System

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