Distributed MIMO Underwater Systems: Receiver Design and Software-Defined Testbed Implementation

Sklivanitis, George; Cao, Yi; Batalama, Stella N.; Su, Weifeng

doi:10.1109/glocom.2016.7841742

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…To transmit a packet in a coordinated manner, the devices must first distribute the data to be transmitted among themselves and accordingly synchronize their clocks. [5], [6].…”

Section: A the Architecturementioning

confidence: 99%

“…This is the author's version which has not been fully edited and content may change prior to final publication. Citation information: DOI 10.1109/TWC.2023.3268418 spectral bandwidth, limiting the channel capacity even when advanced technologies such as cooperative MIMO are used [5], [6]. High bandwidth acoustic is capable of achieving data rates of 1Mbps for distances of up to 100m.…”

Section: A Modes Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

A Universal Multimode (Acoustic, Magnetic Induction, Optical, RF) Software Defined Modem Architecture for Underwater Communication

Zhilin

Bushnaq

Masi

et al. 2023

IEEE Trans. Wireless Commun.

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In this paper, a Universal Underwater Software Defined Modem (UniSDM) architecture is proposed that may operate in different modes (acoustic, magnetic induction, optical and RF), in order to utilize the advantages of each mode and accordingly satisfy the requirements of many latest use cases in underwater communication systems. A detailed description of the novel UniSDM architecture is presented first.The novelty of this architecture is its flexibility, i.e., allowing the designers to produce a device that may include any type of modes operating seamlessly and jointly by exchanging data, control and synchronization. Many challenges, including high system costs and coordination between different modes, are addressed in the paper. Moreover, numerical evaluation is conducted to assess the performance of the proposed UniSDM architecture. Finally, the performance evaluation shows that the utilization of the UniSDM allows to decrease the transmission latency and improve the energy efficiency, while maintaining high reliability and robustness in underwater communication systems.

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“…To transmit a packet in a coordinated manner, the devices must first distribute the data to be transmitted among themselves and accordingly synchronize their clocks. [5], [6].…”

Section: A the Architecturementioning

confidence: 99%

Section: A Modes Comparisonmentioning

confidence: 99%

A Universal Multimode (Acoustic, Magnetic Induction, Optical, RF) Software Defined Modem Architecture for Underwater Communication

Zhilin

Bushnaq

Masi

et al. 2023

IEEE Trans. Wireless Commun.

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“…G. Sklivanitis et al [43] introduced a distributed underwater MIMO system based on SDN. The experimental results showed that it achieved adaptive data compression and enhanced the transmission performance.…”

Section: ) Advancement In the High-performance Communication Of Softmentioning

confidence: 99%

SM-UAN: A Software-Defined Underwater Acoustic Network of Multi-Controllers for Inland Waterway Systems

et al. 2020

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Underwater acoustic network (UAN) is a lightweight system used in inland waterway systems. Software-defined networking (SDN) is a promising approach to improve the supervision abilities and integration services. This paper introduces SM-UAN, an SDN-based UAN with multi-controllers. Firstly, a hierarchical framework of SM-UAN is offered. Secondly, a multi-flow table structure and a multi-flow processing method is built. Followed by, a distributed deployment model of controllers and a load balancing mechanism are established. Finally, we construct an experimental scenario on Mininet with WOSS-NS3. The simulation demonstrates that the compression ratio is promoted to 24.1%, the compression ratio 29.4%, the packet forwarding rate 14.7% and the processing delay 31.2%, when comparing SM-UAN with the item-by-item matching (IM) system. For the load balancing mechanism, it shows that the maximum load for a master controller is balanced to 0.55, while the minimum load for a slave controller 0.46, which proves that a fair load distribution achieves. In addition, SM-UAN is compared with the traditional single-sink-based UAN (TS-UAN), the traditional multi-sink-based UAN (TM-UAN), and the SDN-based UAN with a single controller (SS-UAN). The results reveal that the survival time of SM-UAN is extended to 32.7%, 24.9%, and 21.6%, respectively. Also, the bit error rate (BER) of that is less than 10-4. In conclusion, advantages of SM-UAN have been highlighted, which provides theoretical support for inland waterway systems.

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“…However, the work on implementations of cooperative MIMO communications in underwater environments is very limited, since it is extremely difficult to synchronize the underwater transmitters due to the low acoustic propagation speed. In [25], a distributed underwater MIMO system is implemented, where a MIMO receiver with multiple matched filters at each receiver are designed to counter the multiple carrier frequency offsets (CFO) and time offsets (TO) resulted due to the distributed transmitters.…”

Section: Related Workmentioning

confidence: 99%

“…The capabilities of the proposed system architecture are demonstrated using software-defined testbed in a labcontrolled tank environment. The setup is inspired by the platform established in [22], [23], [25]. Our proposed architecture is implemented in software-defined acoustic and M 2 I modems (SDAMM) that are built in-house.…”

Section: Testbed Implementation and Experimental Evaluationsmentioning

confidence: 99%

Underwater Cooperative MIMO Communications using Hybrid Acoustic and Magnetic Induction Technique

Li¹,

Desai²,

Sudev³

et al. 2019

Preprint

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Future smart ocean applications require long distance and reliable communications to connect underwater sensors/robots with remote surface base stations. It is challenging to achieve such goal due to the harsh and dynamic underwater acoustic channel. While Multiple-Input and Multiple-Output (MIMO) technique can enhance reliability and transmission range, it is difficult to place multiple acoustic transducers on one single underwater device due to the large wavelength. Although the cooperative MIMO technique that let multiple underwater devices form a virtual MIMO system could solve the issue, it was impossible to synchronize the distributed underwater devices due to the extremely large and dynamic propagation delay of acoustic waves. To this end, this paper proposes an underwater cooperative MIMO communication mechanism, which is based on a hybrid acoustic and Magnetic Induction (MI) technique. The inter-node synchronization problem can be perfectly solved by using the MI technique so that the distributed acoustic transducers can cooperatively form narrow beams for long distance underwater communications.The synchronization time and errors are significantly reduced since MI has negligible signal propagation delays. To quantitatively analyze the improvement, the closed-form expressions of the synchronization error, signal-to-noise ratio (SNR), effective communication time, and throughput of the proposed system are rigorously derived. The proposed hybrid system is implemented in a software-defined testbed under the beamforming and space-time coding scheme.Through both numerical analysis and real-world experiments, the paper shows that the proposed hybrid cooperative MIMO mechanism achieves much lower bit error rate and synchronization error than the conventional acoustic systems.

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Distributed MIMO Underwater Systems: Receiver Design and Software-Defined Testbed Implementation

Cited by 8 publications

References 12 publications

A Universal Multimode (Acoustic, Magnetic Induction, Optical, RF) Software Defined Modem Architecture for Underwater Communication

A Universal Multimode (Acoustic, Magnetic Induction, Optical, RF) Software Defined Modem Architecture for Underwater Communication

SM-UAN: A Software-Defined Underwater Acoustic Network of Multi-Controllers for Inland Waterway Systems

Underwater Cooperative MIMO Communications using Hybrid Acoustic and Magnetic Induction Technique

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