Distributed Space-Time Cooperative Schemes for Underwater Acoustic Communications

Vajapeyam, M.; Mitra, Urbashi; Preisig, James C.; Stojanovic, Milica

doi:10.1109/oceansap.2006.4393898

Cited by 28 publications

(21 citation statements)

References 28 publications

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“…Research Article been proposed in the literature to address the time synchronisation difficulty. In [4], an Alamouti-type cooperative scheme with 2 or 4 relays is designed based on time-reversal distributed space-time block code. By incorporating effects of relaying asynchronism into equivalent delayed multipath channels, the scheme is resistant to timing errors among relays.…”

Section: Iet Communicationsmentioning

confidence: 99%

“…However, the unique features of acoustic signal propagation and the underwater environment pose new research challenges to wireless communications. On one hand, long and variant delay, caused by slow acoustic signal propagation (around 1500 m/s) and environmental effects, hampers accurate time synchronisation and well-coordinated medium access [2][3][4][5][6]. On the other hand, the doubly-selective nature of UAC channel induces error-prone transmissions [7].…”

Section: Introductionmentioning

confidence: 99%

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Asynchronous amplify‐and‐forward relay communications for underwater acoustic networks

Cao

Yang

2016

IET Communications

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Underwater acoustic communications (UAC) feature frequency-dependent signal attenuation, long propagation delay and doubly-selective fading. Thus the design of reliable UAC protocols is challenging. On the other hand, cooperative relay communications, which have been extensively studied in terrestrial environments, are promising paradigms for reliable communications. However, their application to UAC has not been thoroughly explored. In this study, the authors will design an asynchronous relaying protocol to achieve reliable underwater communications. This new scheme accounts for and takes advantage of the unique characteristics of UAC channels. To avoid time synchronisation difficulty in UAC, and facilitate energy-efficient relay processing, asynchronous amplify-and-forward relaying is adopted in the protocol. In addition, precoded orthogonal frequency division multiplexing is chosen to address the frequency selectivity issue in UAC, while collecting ample multipath diversity provided by the channel and enabled by the asynchronous relaying design. To demonstrate the performance of the protocol, the end-to-end signalto-noise ratio is derived, the average pair-wise error probability is evaluated and the maximum collectable diversity is also proven. Simulations and comparisons are presented to corroborate the analyses and design.

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Section: Iet Communicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Asynchronous amplify‐and‐forward relay communications for underwater acoustic networks

Cao

Yang

2016

IET Communications

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“…Cooperative control and optimization for multiple collaborative autonomous underwater vehicles has become a vital area of research [1,2,4,6]. Although some of the prior work are closely related to this research, few address the same problems specifically related to underwater environments with realistic acoustic communication constraints [9][10][11]. Underwater acoustic networking is an enabling technology for various collaborative missions involving multiple autonomous underwater vehicles [5].…”

Section: Underwater Acoustic Communicationmentioning

confidence: 99%

“…The main function of the GMOOP model is to dynamically create paths followed by each vehicle. To do so, it uses a path-planning controller to move the vehicle from one location in the mission field to the next, such that it minimizes a positive cost metric (here the traverse if Message-Type (msg) = "auction-announcement" then (7) auction-id, auction-type, auction-data ← Parse-Announcement-message (timer) (8) if Message-Type (msg) = "single" (9) bid ← Create-Bid (auction-id, auction-type, auction-data) (10) Send-Bid (bid) (11) else if Message-Type (msg) = "multiple" (12) Negotiate-Bid (bid) (13) end if (14) else if Message-Type (msg) = "auction-winner" then (15) auctioneer ← Get-Sender (msg) (16) auction-id, auction-data ← Parse-Won-Message (msg)…”

Section: Potential Fieldmentioning

confidence: 99%

Task Allocation and Path Planning for Collaborative Autonomous Underwater Vehicles Operating through an Underwater Acoustic Network

Deng

Beaujean

et al. 2013

Journal of Robotics

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Dynamic and unstructured multiple cooperative autonomous underwater vehicle (AUV) missions are highly complex operations, and task allocation and path planning are made significantly more challenging under realistic underwater acoustic communication constraints. This paper presents a solution for the task allocation and path planning for multiple AUVs under marginal acoustic communication conditions: a location-aided task allocation framework (LAAF) algorithm for multitarget task assignment and the grid-based multiobjective optimal programming (GMOOP) mathematical model for finding an optimal vehicle command decision given a set of objectives and constraints. Both the LAAF and GMOOP algorithms are well suited in poor acoustic network condition and dynamic environment. Our research is based on an existing mobile ad hoc network underwater acoustic simulator and blind flooding routing protocol. Simulation results demonstrate that the location-aided auction strategy performs significantly better than the well-accepted auction algorithm developed by Bertsekas in terms of task-allocation time and network bandwidth consumption. We also demonstrate that the GMOOP path-planning technique provides an efficient method for executing multiobjective tasks by cooperative agents with limited communication capabilities. This is in contrast to existing multiobjective action selection methods that are limited to networks where constant, reliable communication is assumed to be available.

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“…Cooperative relay techniques have the advantages of extending the coverage and enhancing the end-to-end quality in terms of capacity and reliability (e.g., [3][4][5] for terrestrial radio networks). In the case of underwater networks, it was shown that cooperation gains could be achieved via simple maximum ratio combining [6] or distributed spacetime block coding [7]. To support the practical implementation of such a cooperative framework, a sparse channel estimation method [8] and a receiver structure including various detectors [9] were introduced.…”

Section: Introductionmentioning

confidence: 99%

Naïve Decode-and-Forward Relay Achieves Optimal DMT for Cooperative Underwater Communication

Shin¹,

Yi²

2013

Journal of information and communication convergence engineerin

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Diversity-multiplexing tradeoff (DMT) characterizes the fundamental relationship between the diversity gain in terms of outage probability and the multiplexing gain as the normalized rate parameter , where the limiting transmission rate is given by ‫ܗܔ‬ ‫܀ۼ܁‬ (here, SNR denote the received signal-to-noise ratio). In this paper, we analyze the DMT and outage performance of an underwater network with a cooperative relay. Since over an acoustic channel, the propagation delay is commonly considerably higher than the processing delay, the existing transmission protocols need to be explained accordingly. For this underwater network, we briefly describe two well-known relay transmissions: decode-and-forward (DF) and amplifyand-forward (AF). As our main result, we then show that an instantaneous DF relay scheme achieves the same DMT curve as that of multiple-input single-output channels and thus guarantees the DMT optimality, while using an instantaneous AF relay leads at most only to the DMT for the direct transmission with no cooperation. To validate our analysis, computer simulations are performed in terms of outage probability.

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Distributed Space-Time Cooperative Schemes for Underwater Acoustic Communications

Abstract: Index Terms-Cooperative diversity methods, multiple-inputmultiple-output (MIMO) fading channels, underwater sensor networks.

Cited by 28 publications

References 28 publications

Asynchronous amplify‐and‐forward relay communications for underwater acoustic networks

Asynchronous amplify‐and‐forward relay communications for underwater acoustic networks

Task Allocation and Path Planning for Collaborative Autonomous Underwater Vehicles Operating through an Underwater Acoustic Network

Naïve Decode-and-Forward Relay Achieves Optimal DMT for Cooperative Underwater Communication

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