Wireless Channel Models for Maritime Communications

Wang, Jue; Zhou, Haifeng; Li, Ye; Sun, Qiang; Wu, Yongpeng; Jin, Shi; Quek, Tony Q. S.; Xu, Chen

doi:10.1109/access.2018.2879902

Cited by 171 publications

(91 citation statements)

References 93 publications

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“…, K , and it is difficult to express C ( ) straightly without the expectation operator. Secondly, due to the mutual coupling of interference as shown in (11) and (13), C ( ) is not a concave function of , and (14) is a complicated non-convex problem. Thirdly, (k) is a function of w (k) and b (k) subject to (14e) and (14f), and it is intractable to obtain the optimal value of the coupled variables (k) , w (k) , and b (k) .…”

Section: Cooperative Coverage Optimizationmentioning

confidence: 99%

“…Different from terrestrial networks, geographical environment characteristics could be exploited for coverage optimization in the MCN. Previous channel modeling studies have suggested that maritime channels consist of only a few strong propagation paths due to the limited number of scatterers [11]. Some scatterers mounted in fixed locations, such as the lighthouses, reefs, and islands, can be observed using remote sensing techniques [12].…”

Section: Introductionmentioning

confidence: 99%

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Environment-Aware Coverage Optimization for Space-Ground Integrated Maritime Communications

Wei

Feng

et al. 2020

IEEE Access

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To satisfy the growing demand for broadband maritime communications, space-ground integrated maritime communication networks (MCNs) arise, which are envisioned to take full advantage of both satellites and terrestrial shore-based networks. In practice, due to the frequent beam hopping of satellites and the limited number of geographically available onshore base-station sites, the space-ground integrated MCN usually presents a highly non-cellular network structure, leading to both challenging blind zones and coverage areas with severe interference. In this paper, we optimize the coverage performance by exploiting the marine environment information. Particularly, the transmit antenna correlation is estimated using the location and mobility information of scatterers on the sea, such as lighthouses, reefs, islands, and vessels. The position and attitude information of satellites are also utilized for interference estimation. Based on that, we optimize the input covariance and precoding matrix to maximize the ergodic sum capacity for all mobile terminals within the coverage. It is a complicated non-convex problem, especially because the ergodic sum capacity is difficult to be expressed straightly without the expectation operator. We introduce an upper bound of the ergodic sum capacity using the path loss and the transmit antenna correlation estimated from the environment information, and then propose an iterative algorithm to solve the problem by solving a set of convex subproblems. The proposed environment-aware scheme is evaluated using the real-world geographic information of a coastal area of China. Simulation results demonstrate that the proposed scheme can greatly improve the ergodic sum capacity and the energy efficiency compared with existing approaches, and achieve dynamic coverage to match the non-cellular network structure. INDEX TERMS Maritime communications, marine environment information, non-cellular, coverage optimization, dynamic coverage.

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Section: Cooperative Coverage Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Environment-Aware Coverage Optimization for Space-Ground Integrated Maritime Communications

Wei

Feng

et al. 2020

IEEE Access

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“…Two comprehensive surveys on the different models available for the radio propagation over the sea are presented in [46] and [47]. The authors present and discuss the key features and the different models, taking into consideration other factors and parameters that can affect the propagation of near-sea-surface such as weather conditions, undulation, and mobility.…”

Section: B Models For Radio Propagation Over the Sea Surfacementioning

confidence: 99%

Height Optimization in Aerial Networks for Enhanced Broadband Communications at Sea

2020

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The Blue Economy has been growing in sectors such as offshore renewable energy, aquaculture, marine biotechnology, and deep sea mining. However, suitable wireless and mobile communications are lacking offshore. On the one hand, there is no coverage from terrestrial networks; on the other hand, satellite communications are still narrowband and expensive. Recently, the use of multi-hop airborne communications has been proposed to extend the coverage from terrestrial networks offshore but the communications range of these solutions is highly dependent on the height of the communications nodes. In this paper, we study the RF signal propagation in the maritime environment when the height of the receiver is changed and propose a position control approach for airborne multi-hop networks that maximizes the network capacity by taking full advantage of the signal reflections on the sea surface. The results obtained show that the proposed approach can provide lower propagation losses and higher network throughputs than random or fixed height approaches. INDEX TERMS Aerial networks, broadband communications, height control, maritime communications, wireless communications.

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“…On the other hand, the second hop off-shore communication channel may substantially suffer from reflection by the sea surface, which may result in severe multipath effects. Therefore, in our model, an empirical loss Rician fading model is conceived for describing the first hop near-shore channel, which is given by [29]:…”

Section: A the Channel Modelmentioning

confidence: 99%

“…The system operates at a carrier frequency of 1.9 GHz and the noise level is set to be -30 dBW. The K-factor of the Rician fading channel is set to be 12.7 dB while the means and variance of the Rayleigh fading channel are 0 and 4, respectively[29]. Moreover, high gain antennas are assumed to mitigate the attenuation, and the transmit antenna gains of the BSA and of the RNs are set to 40 and 35…”

mentioning

confidence: 99%

Joint Multicast Beamforming and Relay Design for Maritime Communication Systems

Duan

Wang

Zhang

et al. 2020

IEEE Trans. on Green Commun. Netw.

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With growing human maritime activities, supporting low-cost and high-speed information services for users at sea has become imperative. However, traditional means of maritime communications fail to provide high rate services due to their high cost and limited bandwidth. In this paper, considering a base station ashore and several offshore relay nodes, we propose a cooperative multicast communication scheme for maritime users relying on joint beamforming (BF) optimization and relay design. Specifically, we decompose our proposed joint optimization problem into two subproblems, which can be solved by the feasible point pursuit successive convex approximation approach. Furthermore, an alternating optimization algorithm is proposed, which imposes an exponentially increasing complexity as a function of the number of BF elements and the number of relays, when aiming for finding the globally optimal solution. In order to reduce this excessive computational complexity, a low-complexity distributed algorithm is also conceived and its closed-form solution is derived. Finally, the simulation results provided show that our proposed algorithm is beneficial in terms of increasing both the throughput as well as the energy efficiency.

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Wireless Channel Models for Maritime Communications

Cited by 171 publications

References 93 publications

Environment-Aware Coverage Optimization for Space-Ground Integrated Maritime Communications

Environment-Aware Coverage Optimization for Space-Ground Integrated Maritime Communications

Height Optimization in Aerial Networks for Enhanced Broadband Communications at Sea

Joint Multicast Beamforming and Relay Design for Maritime Communication Systems

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