Opportunistic Cooperative Transmission for Underwater Communication Based on the Water’s Key Physical Variables

El-Banna, Ahmad A. Aziz; Wu, Kaishun; ElHalawany, Basem M.

doi:10.1109/jsen.2019.2953277

Cited by 23 publications

(12 citation statements)

References 28 publications

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“…e steering matrix G of dimension W × D comprises the time delay entities of signals for each hydrophone. Here, v(t) is additive white Gaussian noise of zero mean with a dimension of W × 1. e covariance matrix [27,28] is defined as…”

Section: Z(t) � G(θ)y(t) + V(t)mentioning

confidence: 99%

High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics

Ahmed

Wang

et al. 2022

Shock and Vibration

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Developing the parameter estimation, particularly direction of arrival (DOA), utilizing the swarming intelligence-based flower pollination algorithm (FPA) is considered an optimistic solution. Therefore, in this paper, the features of FPA are applied for viable DOA in the case of several robust underwater scenarios. Moreover, acoustic waves impinging from the far-field multitarget are evaluated using the different number of hydrophones of uniform linear array (ULA). The measuring parameters like robustness against noise and element quantity, estimation accuracy, computation complexity, various numbers of hydrophones, variability analysis, frequency distribution and cumulative distribution function of root mean square error (RMSE), and resolution ability are applied for analyzing the performance of the proposed model with additive white Gaussian noise (AWGN). For this purpose, particle swarm optimization (PSO), minimum variance distortion-less response (MVDR), multiple signal classification (MUSIC), and estimation of signal parameter via rotational invariance technique (ESPRIT) standard counterparts are employed along with Crammer–Rao bound (CRB) to improve the worth of the proposed setup further. The proposed scheme for estimating the DOA generates efficient outcomes compared to the state-of-the-art algorithms over the Monte Carlo simulations.

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Section: Z(t) � G(θ)y(t) + V(t)mentioning

confidence: 99%

High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics

Ahmed

Wang

et al. 2022

Shock and Vibration

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“…And the system utilized a finite number of transmission modes which were switched based on the effective signal-to-noise ratio (ESNR). Different modulation methods were used in Reference [ 10 ] for opportunistic cooperative transmission of underwater networks under various environmental conditions to achieve the best compromise between robustness and data rate. Kuai et al [ 11 ] proposed a fixed threshold adaption algorithm and the required SNR of different modulation methods were presented to meet the target bit error rate (BER).…”

Section: Related Workmentioning

confidence: 99%

“…In the literature, adaptive transmission according to channel state has become a hot topic. The rule-based adaptive modulation and coding (AMC) methods usually utilize fixed thresholds for transmission mode determination [ 1 , 10 , 11 , 12 ]. These methods are easy for implementation and could be used in the resource-constrained networks, while the threshold selection should be carefully designed.…”

Section: Introductionmentioning

confidence: 99%

Double-Scale Adaptive Transmission in Time-Varying Channel for Underwater Acoustic Sensor Networks

Cen

Liu

et al. 2021

Sensors

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The communication channel in underwater acoustic sensor networks (UASNs) is time-varying due to the dynamic environmental factors, such as ocean current, wind speed, and temperature profile. Generally, these phenomena occur with a certain regularity, resulting in a similar variation pattern inherited in the communication channels. Based on these observations, the energy efficiency of data transmission can be improved by controlling the modulation method, coding rate, and transmission power according to the channel dynamics. Given the limited computational capacity and energy in underwater nodes, we propose a double-scale adaptive transmission mechanism for the UASNs, where the transmission configuration will be determined by the predicted channel states adaptively. In particular, the historical channel state series will first be decomposed into large-scale and small-scale series and then be predicted by a novel k-nearest neighbor search algorithm with sliding window. Next, an energy-efficient transmission algorithm is designed to solve the problem of long-term modulation and coding optimization. In particular, a quantitative model is constructed to describe the relationship between data transmission and the buffer threshold used in this mechanism, which can then analyze the influence of buffer threshold under different channel states or data arrival rates theoretically. Finally, numerical simulations are conducted to verify the proposed schemes, and results show that they can achieve good performance in terms of channel prediction and energy consumption with moderate buffer length.

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“…An acoustic-based underwater communication has many drawbacks such as high latency, low data rates, and high attenuation. The situation was not much different when using RF in underwater communication scenarios [1,2]. An acoustic-based underwater communication has many drawbacks such as high latency, low data rates, high bit error rates, and high attenuation.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Dual-Hop Hybrid RF-UOWC NOMA Systems

Samir

Elsayed

El-Banna

et al. 2022

Sensors

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The hybrid combination between underwater optical wireless communication (UOWC) and radio frequency (RF) is a vital demand for enabling communication through the air–water boundary. On the other hand, non-orthogonal multiple access (NOMA) is a key technology for enhancing system performance in terms of spectral efficiency. In this paper, we propose a downlink NOMA-based dual-hop hybrid RF-UOWC with decode and forward (DF) relaying. The UOWC channels are characterized by exponential-generalized Gamma (EGG) fading, while the RF channel is characterized by Rayleigh fading. Exact closed-form expressions of outage probabilities and approximated closed-form expressions of ergodic capacities are derived, for each NOMA individual user and the overall system as well, under the practical assumption of imperfect successive interference cancellation (SIC). These expressions are then verified via Monte-Carlo simulation for various underwater scenarios. To gain more insight into the system performance, we analyzed the asymptotic outage probabilities and the diversity order. Moreover, we formulated and solved a power allocation optimization problem to obtain an outage-optimal performance. For the sake of comparison and to highlight the achievable gain, the system performance is compared against a benchmark orthogonal multiple access (OMA)-based system.

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Opportunistic Cooperative Transmission for Underwater Communication Based on the Water’s Key Physical Variables

Cited by 23 publications

References 28 publications

High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics

High-Resolution Direction of Arrival Estimation of Underwater Multitargets Using Swarming Intelligence of Flower Pollination Heuristics

Double-Scale Adaptive Transmission in Time-Varying Channel for Underwater Acoustic Sensor Networks

Performance Analysis of Dual-Hop Hybrid RF-UOWC NOMA Systems

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