Power-efficient spectrum sharing for noncooperative underwater acoustic communication systems

Pottier, Antony; Socheleau, François-Xavier; Laot, Christophe

doi:10.1109/oceans.2016.7761437

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…The quantity of information that receivers have to feedback can also be a problem for practical systems. A complementary but similar game has been studied in another work [42], where UA-OFDM communication links are aimed at minimizing their transmission power under information rate constraint. A natural extension of both [42] and this paper are satisfaction games [43], [44] where players do not aim at maximizing their utility but only at finding a strategy that guarantees a minimum satisfaction level.…”

Section: Discussionmentioning

confidence: 99%

Robust Noncooperative Spectrum Sharing Game in Underwater Acoustic Interference Channels

Pottier

Socheleau

Laot

2017

IEEE J. Oceanic Eng.

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International audienceThis paper focuses on underwater acoustic (UA) communications and proposes a decentralized spectrum sharing method for noncooperative orthogonal frequency-division multiplexing systems in interference channels. The problem is formulated as a noncooperative game where the players are UA communication systems aiming at finding the power allocation on subcarriers that maximizes a utility function related to their information rate. Realistic assumptions regarding the UA context are formulated. Frequency-selective and randomly time-varying channels are considered. Each system is constrained in average power and adapts its power allocation strategy only with local knowledge of its channel statistics and noise plus interference power spectral density. This knowledge is obtained through a feedback link from the receiver. Estimation errors on the channel statistics are taken into account, thanks to a robust reformulation of the game. We show that an efficient decentralized spectrum sharing can be achieved when all players use a water-filling strategy against each other iteratively. Simulations results are obtained on synthetic but realistic channels. In configurations where the UA communication systems are in close areas, significant increases of spectral efficiencies can be expected compared to the conventional uniform power allocation. Results on channels sounded at sea support our conclusions

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Section: Discussionmentioning

confidence: 99%

Robust Noncooperative Spectrum Sharing Game in Underwater Acoustic Interference Channels

Pottier

Socheleau

Laot

2017

IEEE J. Oceanic Eng.

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“…In this section, we propose an algorithm that combines the power control and the rate adjustment. The mechanism is based on the channel gain information and allows as much parallel transmission as possible by using a game theory-based Nash equilibrium solution [42]. To effectively protect marine animals, the mechanism introduces a dual-mode access control strategy based on the location results [43].…”

Section: Data Uploading Strategymentioning

confidence: 99%

“…From this discussion, the sensor’s power allocation problem is an optimization problem; therefore, the optimal power allocation problem can be solved by using the Nash equilibrium (NE) [42].…”

Section: Data Uploading Strategymentioning

confidence: 99%

Data Uploading Strategy for Underwater Wireless Sensor Networks

Huang

Sun

Yang

2019

Sensors

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Underwater wireless sensor networks (UWSNs) have become a popular research topic due to the challenges of underwater communication. The existing mechanisms for collecting data from UWSNs focus on reducing the data redundancy and communication energy consumption, while ignoring the problem of energy-saving transmission after compression. In order to improve the efficiency of data collection, we propose a data uploading decision-making strategy based on the high similarity of the collected data and the energy consumption of the high similarity data compression. This decision-making strategy efficiently optimizes the energy consumption of the networks. By analyzing the data similarity, the quality of network communication, and uploading energy consumption, the decision-making strategy provides an energy-efficient data upload strategy for underwater nodes, which reduces the energy consumption in various network settings. The simulation results show that compared with several existing data compression and uploading methods, the proposed data upload methods has better energy saving effect in different network scenarios.

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“…In [16] a delay-tolerant handshaking mechanism is implemented, which necessitates some overheads. More recently, [17]- [21] have investigated decentralized spectrum sharing between noncooperative UW communication links. Communications take place outside any network, without protocol, synchronization or information exchanges between different links.…”

Section: Introductionmentioning

confidence: 99%

Q-Learning Based Adaptive Channel Selection for Underwater Sensor Networks

Pottier

Mitchell

Socheleau

et al. 2018

2018 Fourth Underwater Communications and Networking Conference (UComms)

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In this paper, we provide self-configuration and adaptation capabilities to UWSN thanks to Q-learning. UWSN deployed for the long term over large areas for environmental monitoring are possible applications of our work. Sensor nodes deployed on the sea bottom are devoted to measure a physical quantity of interest transmitted to surface buoys considered as access points. Packet transmission are asynchronous and low overheads are desirable so as to save throughput and battery life. Prior to a transmission, the nodes choose, depending on the channel conditions, which access point maximizes the probability of successful decoding a the receiver side. Results show that Qlearning is able to perform close to an ideal "genie-aided" scheme, without the need of a detailed knowledge on the environment.

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Power-efficient spectrum sharing for noncooperative underwater acoustic communication systems

Cited by 4 publications

References 18 publications

Robust Noncooperative Spectrum Sharing Game in Underwater Acoustic Interference Channels

Robust Noncooperative Spectrum Sharing Game in Underwater Acoustic Interference Channels

Data Uploading Strategy for Underwater Wireless Sensor Networks

Q-Learning Based Adaptive Channel Selection for Underwater Sensor Networks

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