Spatial Modulation Experiments in the Underwater Acoustic Channel

Kilfoyle, Daniel; Preisig, James C.; Baggeroer, A. B.

doi:10.1109/joe.2004.834168

Cited by 94 publications

(46 citation statements)

References 18 publications

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“…Such a drastic capacity increase does not incur penalty on precious power and bandwidth resources, but rather it comes from the utilization of spatial dimension virtually creating parallel data pipes. Hence, MIMO modulation is a promising technology to offer yet another fundamental advance on high data rate underwater ACOMM [34].…”

Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

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Prospects and problems of wireless communication for underwater sensor networks

Liu

Zhou

Cui

2008

Wireless Communications

355

101

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SummaryThis paper reviews the physical fundamentals and engineering implementations for efficient information exchange via wireless communication using physical waves as the carrier among nodes in an underwater sensor network (UWSN). The physical waves under discussion include sound, radio, and light. We first present the fundamental physics of different waves; then we discuss and compare the pros and cons for adopting different communication carriers (acoustic, radio, and optical) based on the fundamental first principles of physics and engineering practice. The discussions are mainly targeted at underwater sensor networks (UWSNs) with densely deployed nodes. Based on the comparison study, we make recommendations for the selection of communication carriers for UWSNs with engineering countermeasures that can possibly enhance the communication efficiency in specified underwater environments.

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Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

“…For single carrier transmission, existing adaptive channel equalization algorithms are leveraged to deal with MIMO channels [34,35]. The data rate increases substantially.…”

Section: Multi-input Multi-output Techniquesmentioning

confidence: 99%

Prospects and problems of wireless communication for underwater sensor networks

Liu

Zhou

Cui

2008

Wireless Communications

355

101

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“…These systems are able to exploit the scattering and multipath fading in such a way as to provide higher spectral efficiencies using the same transmission output power. MIMO technology can in fact take advantage of the rich scattering and heavy multipath of the underwater acoustic environment so to increase data transmission rates and improve link reliability in UW-ASNs [2], [3]. While still not mature, the promise of this technology has also being recognized by In order to increase the spectral efficiency of multi-user wireless terrestrial networks, a technique called Interference Alignment (IA) has been proposed [4], [5].…”

Section: Introductionmentioning

confidence: 99%

Region of Feasibility of Interference Alignment in Underwater Sensor Networks

Pandey

Hajimirsadeghi

Pompili

2014

IEEE J. Oceanic Eng.

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Abstract-To enable underwater applications such as coastal and tactical surveillance, undersea explorations, and picture/video acquisition, there is a need to achieve high datarate underwater acoustic communications, which translates into attaining high acoustic channel spectral efficiencies. Interference Alignment (IA) technique, which has recently been proposed for radio-frequency MIMO terrestrial communication systems, aims at improving the spectral efficiency by enabling nodes to transmit data simultaneously at a rate equal to half of the interference-free channel capacity. While promising, there are challenges to be solved for the use of IA underwater, i.e., imperfect acoustic channel knowledge, high computational complexity, and high communication delay. In this paper, a feasibility study on the practical employment of IA underwater is presented, and a novel distributed computing framework for sharing processing resources in the network so to parallelize an iterative IA algorithm is proposed.

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“…In [17]- [22], the feasibility of MIMO systems and related coding and modulation was tested for underwater acoustic communications and significant performance improvement was demonstrated compared with the conventional SISO system architecture. Experimental studies on underwater MIMO transmission techniques include [17], [18], [20], [23]- [25] and limited previous work on theoretical link performance optimization and analysis [22], [26]. The impact of the capabilities of MIMO links on higher layer protocols in underwater networks is however substantially unexplored.…”

Section: Introductionmentioning

confidence: 99%

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

Kuo

Melodia

2011

IEEE Trans. Wireless Commun.

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Abstract-The requirements of multimedia underwater monitoring applications with heterogeneous traffic demands in terms of bandwidth and end-to-end reliability are considered in this article. To address these requirements, a new medium access control protocol named UMIMO-MAC is proposed. UMIMO-MAC is designed to i) adaptively leverage the tradeoff between multiplexing and diversity gain according to channel conditions and application requirements, ii) select suitable transmit power to reduce energy consumption, and iii) efficiently exploit the UW channel, minimizing the impact of the long propagation delay on the channel utilization efficiency.To achieve the objectives above, UMIMO-MAC is based on a two-way handshake protocol. Multiple access by simultaneous and co-located transmissions is achieved by using different pseudo-orthogonal spreading codes. An algorithm is proposed that, in a cross-layer fashion, jointly selects optimal transmit power and transmission mode through the cooperation of transmitter and receiver to achieve the desired level of reliability and data rate according to application needs and channel condition. Extensive simulation results show that UMIMO-MAC increases network throughput, decreases channel access delay, and decrease energy consumption compared with existing MAC protocols for UW-ASNs.Index Terms-Underwater acoustic sensor networks, Medium access control, Multiple input multiple output.

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Spatial Modulation Experiments in the Underwater Acoustic Channel

Cited by 94 publications

References 18 publications

Prospects and problems of wireless communication for underwater sensor networks

Prospects and problems of wireless communication for underwater sensor networks

Region of Feasibility of Interference Alignment in Underwater Sensor Networks

Distributed Medium Access Control Strategies for MIMO Underwater Acoustic Networking

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