Effective Channel Exploitation in IEEE 802.16j Networks for Maritime Communications

Wang, Hanwu; Jia, Weijia; Min, Geyong

doi:10.1109/icdcs.2011.14

Cited by 8 publications

(8 citation statements)

References 10 publications

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“…It is known that the single hop communication is often of limited geographical size. In this respect, a relay approach by introducing the low-cost relay station (RS) into the 802.16e network to increase range and enhance transmission capacity between a base station (BS) and mobile station (MS) in a cost-effective manner is highly desirable [3]. Such RS-enabled multi-hop networks have been the focus of the recently established IEEE 802.16j standard working group [4][5][6].…”

Section: Wimax (Ieee 80216j)mentioning

confidence: 99%

“…The station to which an RS transmits in the uplink is its superordinate station while transmits in the downlink is its subordinate station. In such a mobile multi-hop transmission network, the RS plays a critical role in forwarding traffic between BS and MS [3].…”

Section: Wimax (Ieee 80216j)mentioning

confidence: 99%

“…Path shadowing is caused by the large obstacles between the transmitter and receiver station and may cause more attenuation than path loss. Multipath fading is caused by the multiple receptions of the original signal due to the sea surface reflection [3].…”

Section: Figure 1 Mimo System Modelmentioning

confidence: 99%

See 2 more Smart Citations

Ship to Ship Maritime Communication for e-Navigation Using WiMAX

Choi¹,

Park²,

Lee³

et al. 2014

IJMUE

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Maritime wireless communication is different from terrestrial wireless communication, due to difference of environments. Nevertheless technologies based on WiMAX (IEEE 802.16j) for ship to ship maritime communication promised to deliver high data rates over large distances and deliver multimedia services and are expected to use e-Navigation system. This paper focuses to simulate on IEEE 802.16j for ship to ship maritime communication under various sea states. We describe BER level according to sea states under Rician fading channel model. BER patterns are designed using MATLAB.

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Section: Wimax (Ieee 80216j)mentioning

confidence: 99%

Section: Wimax (Ieee 80216j)mentioning

confidence: 99%

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Ship to Ship Maritime Communication for e-Navigation Using WiMAX

Choi¹,

Park²,

Lee³

et al. 2014

IJMUE

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“…One of the aspect that need to be investigated are additional ways to extend the communication coverage and range, including mobile multi-hop relay (MMR) [7] and repeaters [3]. Technologies present in the current literature tend to use 802.16 networks [3], [4], [5], [6], [8], where an optimum range between nodes is less then 5 km, and effective range is 5-30 km [6]. Scenarios and network architectures for maritime communication are also presented in [5], [6], [8].…”

Section: Introductionmentioning

confidence: 99%

“…Technologies present in the current literature tend to use 802.16 networks [3], [4], [5], [6], [8], where an optimum range between nodes is less then 5 km, and effective range is 5-30 km [6]. Scenarios and network architectures for maritime communication are also presented in [5], [6], [8].…”

Section: Introductionmentioning

confidence: 99%

Coordinated maritime missions of unmanned vehicles — Network architecture and performance analysis

Zolich

Sogrov

Vagsholm

et al. 2017

2017 IEEE International Conference on Communications (ICC)

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Abstract-Multi-vehicle operations using various types of unmanned vehicles (UVs) can increase efficiency of marine data acquisition, reduce the crew risk and lower mission costs. These types of missions are very complex and often involve systems that are not interoperable. From an operational perspective however, some level of integration is necessary. Typically, a common network system architecture and Situation Awareness (SA) platform are required. The architecture allows operators to transfer data between vehicles and their operators, while the SA platform allows to monitor mission progress and react to changes. This paper presents a network system architecture used during an experiment realized in Spring 2016 in Norway. 8 departments from 5 institutions worked together to combine operation of 4 UVs (aerial, surface, underwater), a support vessel and onshore team. The description is followed by a backbone network performance analysis. Several cases are presented, with focus on a transmission between manned vessel and Unmanned Surface Vehicle (USV), including direct connection, and data-relay mechanism via Unmanned Aerial Vehicle (UAV).

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