Maritime Mobile Channel Transmission Model Based on ITM

Zhao, Yuwei; Ren, Jia; Chi, Xun

doi:10.2991/3ca-13.2013.93

Cited by 13 publications

(4 citation statements)

References 5 publications

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“…Considering the impact of sea surface reflections, some recent works [76]- [79] studied the two-ray channel model and proposed several modified models. Among them, Y. Zhao et al considered factors, such as sea surface reflection and antenna height, and proposed a two-ray model suitable for maritime channels [76]. The model assumes that the maritime channel mainly consists of a direct path and a reflection path, and its path loss can be expressed as…”

Section: A Characteristics and Models Of Maritime Channelsmentioning

confidence: 99%

Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges

Wei

Feng

Chen

et al. 2021

IEEE Internet Things J.

208

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Section: A Characteristics and Models Of Maritime Channelsmentioning

confidence: 99%

Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges

Wei

Feng

Chen

et al. 2021

IEEE Internet Things J.

208

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“…Ref. [1][2][3]5,14,15]), which is important to note when drawing comparisons between our work and previous literature.…”

Section: Path Loss Modelsmentioning

confidence: 68%

Received Signal Strength Indication (RSSI) of 2.4 GHz and 5 GHz Wireless Local Area Network Systems Projected over Land and Sea for Near-Shore Maritime Robot Operations

Yamamoto

Wong

Agcanas

et al. 2019

JMSE

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The effect of the maritime environment on radio frequency (RF) propagation is not well understood. In this work, we study the propagation of ad hoc 2.4 GHz and 5 GHz wireless local area network systems typically used for near-shore operation of unmanned surface vehicles. In previous work, maritime RF propagation performance is evaluated by collecting RSSI data over water and comparing it against existing propagation models. However, the multivariate effect of the maritime environment on RF propagation means that these single-domain studies cannot distinguish between factors unique to the maritime environment and factors that exist in typical terrestrial RF systems. In this work, we isolate the effect of the maritime environment by collecting RSSI data over land and over seawater at two different frequencies and two different ground station antenna heights with the same physical system in essentially the same location. Results show that our 2.4 GHz, 2 m antenna height system received a 2 to 3 dBm path loss when transitioning from over-land to over-seawater (equivalent to a 25 to 40% reduction in range); but increasing the frequency and antenna height to 5 GHz, 5 m respectively resulted in no meaningful path loss under the same conditions; this reduction in path loss by varying frequency and antenna height has not been demonstrated in previous work. In addition, we studied the change in ground reflectivity coefficient, R , when transitioning from over-land to over-seawater. Results show that R remained relatively constant, −0.49 ≤ R ≤ −0.45, for all of the over-land experiments; however, R demonstrated a frequency dependence during the over-seawater experiments, ranging from −0.39 ≤ R ≤ −0.33 at 2.4 GHz, and −0.51 ≤ R ≤ −0.50 at 5 GHz.

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“…In addition, TBSs are high-located at the altitude of 200m [47], UAVs hover at an altitude of 800m and the height of user terminal is 5m, i.e., h u = 800m, h t = 200m and h r = 5m. Based on the link budget, we further assume the antenna gains of TBSs and UAVs are 23dBi and 3dBi, i.e., g t = 23/3dBi [48], and the antenna gain of receivers is 7dBi, i.e., g r = 7dBi. The minimum rate requirement of user 2 is 0.5 To ensure the NOMA scheme is applicable, we choose a topology where user 1 and user 2 are far apart so that the condition ( 16) is guaranteed.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for 6G Maritime Coverage

Fang

Feng

Wang

et al. 2023

IEEE Trans. Wireless Commun.

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Current fifth-generation (5G) networks do not cover maritime areas, causing difficulties in developing maritime Internet of Things (IoT). To tackle this problem, we establish a nearshore network by collaboratively using on-shore terrestrial base stations (TBSs) and tethered unmanned aerial vehicles (UAVs). These TBSs and UAVs form virtual clusters in a usercentric manner. Within each virtual cluster, non-orthogonal multiple access (NOMA) is adopted for agilely including various maritime IoT devices, which are sparsely distributed over the vast ocean. The nearshore network also shares the spectrum with marine satellites. In such a NOMA-based hybrid satellite-UAV-terrestrial network, interference among different network segments, different clusters, and different users occurs. We thereby formulate a joint power allocation problem to maximize the sum rate of the network. Different from existing studies, we use large-scale channel state information (CSI) only for optimization to reduce system overhead. The large-scale CSI is obtained by using the position information of maritime IoT devices. The problem is non-convex with intractable non-linear constraints. We tackle these difficulties by adopting max-min optimization, the auxiliary function method, and the successive convex approximation technique. An iterative power allocation algorithm is accordingly proposed, which is shown to be effective for coverage enhancement by simulations. This shows the potential of NOMA-based hybrid satellite-UAV-terrestrial networks for maritime on-demand coverage.

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Maritime Mobile Channel Transmission Model Based on ITM

Abstract: Abstract-

Cited by 13 publications

References 5 publications

Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges

Hybrid Satellite-Terrestrial Communication Networks for the Maritime Internet of Things: Key Technologies, Opportunities, and Challenges

Received Signal Strength Indication (RSSI) of 2.4 GHz and 5 GHz Wireless Local Area Network Systems Projected over Land and Sea for Near-Shore Maritime Robot Operations

NOMA-Based Hybrid Satellite-UAV-Terrestrial Networks for 6G Maritime Coverage

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