Enabling 5G on the Ocean: A Hybrid Satellite-UAV-Terrestrial Network Solution

Li, Xiangling; Feng, Wei; Wang, Jue; Chen, Yunfei; Ge, Ning; Wang, Cheng-Xiang

doi:10.1109/mwc.001.2000076

Cited by 131 publications

(100 citation statements)

References 11 publications

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“…In practice, the UAVs are connected to shore-based base stations or satellites with wireless backhauls to obtain data and instructions [24]. In this UAV network, it is assumed that UAVs, the mobile user, and all eavesdroppers are equipped with a single antenna [33], [34]. Furthermore, since the UAVs are powered by the energy-limited onboard battery which needs to harvest energy from surrounding environments [28], [35]- [38], we assume that the UAV-S and UAV-J employ the TS protocol to periodically harvest energy from the powersupply D for rendering communication services and cooperative jamming 2 .…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…In addition to these constraints, different from most previous works which used the free space path loss model to simplify the analysis, a typical UAV-ocean channel model with both large-scale and small-scale fading is employed [33], [34]. Thus, at time slot n, the channel power gains from UAVs to ocean nodes can be defined respectively by…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…This is typical for maritime navigations[33],[34], where all ships have fixed routes to avoid collision. The investigation of multiple mobile users with arbitrary trajectories is an interesting topic for future work.…”

mentioning

confidence: 99%

“…In general, K[n] is the function of the elevation angle between the UAVs and ground nodes, but it is assumed constant in the current work for tractable analysis, which has been already widely adopted in maritime communication scenarios[33],[34].…”

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confidence: 99%

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Robust 3D-Trajectory and Time Switching Optimization for Dual-UAV-Enabled Secure Communications

Wang

et al. 2021

IEEE J. Select. Areas Commun.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: System Model and Problem Formulationmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Robust 3D-Trajectory and Time Switching Optimization for Dual-UAV-Enabled Secure Communications

Wang

et al. 2021

IEEE J. Select. Areas Commun.

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“…However, the current maritime wireless communication systems are difficult to meet the demand for smart ocean construction. It is thus attracting more and more interest to build a network on the basis of terrestrial communications for the offshore waters, such as 4G-LTE and 5G [11,12] communication technologies.…”

Section: Introductionmentioning

confidence: 99%

Maritime Broadband Communication: Wireless Channel Measurement and Characteristic Analysis for Offshore Waters

Xue

et al. 2021

JMSE

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For a long time, the development of maritime communication has been restricted by the low data rate, high-latency and high cost of the current communication systems. The upgrade of new generation mobile communication technologies is attracting more and more attention to conduct a shore-based broadband mobile communication network with high-latency and high reliability to serve the maritime industries. This paper presents a solution by means of building a ship-to-infrastructure (S2I) and a ship-to-ship (S2S) wireless communication networks for an offshore region. We characterize the S2I and S2S channels at 5.9 GHz band based on the channel measurements in realistic environments. The channel characteristics, including power delay profile, delay spread, propagation path loss, are extracted and analyzed. In view of the difference between marine and terrestrial communications, we analyze the influencing factors of the offshore water, including effective reflection, divergence and shadowing from the water surface, and diffraction loss caused by the earth curvature. We also predict the power coverage range and the channel capacity for S2I and S2S wireless communications. Finally, the communication performance is evaluated according to the channel measurement and characterization analysis. The research results can be a reference for the construction of maritime communication networks.

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Hardware software SoC co‐design analysis and implementation of MIMO‐OFDM for 4G/5G/6G eNodeB applications

Dessai,

Patidar

2024

Trans Emerging Tel Tech

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With the emerging challenges for the data rate requirements of 5G/6G applications and reusing the 4G infrastructure for 5G, it is necessary to understand the System‐on‐Chip (SoC) platform‐based embedded co‐design and implementation of the programmable and reconfigurable MIMO‐OFDM system. For both uplink and downlink data transmissions, these applications require a larger data throughput as well as reduced bit error rates, latency, and increased spectral efficiency. This work describes the co‐design and development of hardware and software for the MIMO‐OFDM algorithms for 5G and 6G eNodeBs. An efficient design through computer architecture based on pipeline and parallelization using systolic and CORDIC has been applied for the IP development of the sub‐components of the MIMO‐OFDM systems. A Zynq platform with computing resources including PS, Mali GPU‐400, and PL is utilized to increase the data rate for MIMO‐OFDM system architecture co‐design and implementation. The architecture approach used in this work enabled a data rate of 10–50 Gbps and beyond reaching Tbps based on the system's programmability and reconfigurability with an efficient SoC platform design. The design platform provides a programming feature such as MIMO‐OFDM, OFDM, and MIMO without OFDM through software programming for the range of applications of the desired data rates. With 64‐QAM modulation, the three channels' observed performance in the predicted multipath channel velocity of 15 km/h for pedestrians, vehicles, and AWGN is seen in simulation. To reach the application clock frequencies, the device's PLL (ZUI7EG) upscales and downscales clock frequencies from 750 to 1600 MHz using a configurable register. When the system is configured to operate as MIMO‐OFDM or OFDM in order to get an execution throughput of 300 msec and a data throughput ranging from 71 Gbps to 1749 Gbps using 2 × 2/4 × 4 configurations. The device scalability depends on at present devices of advanced embedded reconfigurable architecture platform. Massive MIMO and multi‐user MIMO will be used in the future to increase throughput and data rates. Additionally, future work will focus on creating a MIMO‐OFDM hardware‐software embedded architecture and testbed to enhance implementation and verification of the vehicle and pedestrian.

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Enabling 5G on the Ocean: A Hybrid Satellite-UAV-Terrestrial Network Solution

Abstract: Please refer to published version for the most recent bibliographic citation information. If a published version is known of, the repository item page linked to above, will contain details on accessing it.

Cited by 131 publications

References 11 publications

Robust 3D-Trajectory and Time Switching Optimization for Dual-UAV-Enabled Secure Communications

Robust 3D-Trajectory and Time Switching Optimization for Dual-UAV-Enabled Secure Communications

Maritime Broadband Communication: Wireless Channel Measurement and Characteristic Analysis for Offshore Waters

Hardware software SoC co‐design analysis and implementation of MIMO‐OFDM for 4G/5G/6G eNodeB applications

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