2023
DOI: 10.1109/ojcoms.2023.3323200
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Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Md. Abu Baker Siddiki Abir,
Mostafa Zaman Chowdhury,
Yeong Min Jang

Abstract: The ever-increasing demand for wireless communication has driven the development of innovative technologies to address the issues that conventional communication networks meet. To support autonomous devices in the sixth-generation (6G) and provide seamless wireless connectivity in inaccessible and hard-to-reach areas, the combination of software-defined networking (SDN) with unmanned aerial vehicles (UAVs) has already shown promises. As the traditional UAV-based cellular network encompasses challenges such as … Show more

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Cited by 17 publications
(4 citation statements)
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“…This could allow for the transmission of high-quality images, videos, and data from the ocean’s depths in real time, providing a more immersive experience for deep-sea observers. Additionally, 6G’s improved network capacity and increased speed could support the deployment of underwater drones and other autonomous vehicles for deep-sea exploration [ 95 ]. These vehicles could be equipped with high-resolution cameras and other sensing devices to collect and transmit data, enabling the collection of more accurate and detailed information about the deep-sea environment.…”
Section: The Convergence Of Ai 6g and Wireless Communicationmentioning
confidence: 99%
“…This could allow for the transmission of high-quality images, videos, and data from the ocean’s depths in real time, providing a more immersive experience for deep-sea observers. Additionally, 6G’s improved network capacity and increased speed could support the deployment of underwater drones and other autonomous vehicles for deep-sea exploration [ 95 ]. These vehicles could be equipped with high-resolution cameras and other sensing devices to collect and transmit data, enabling the collection of more accurate and detailed information about the deep-sea environment.…”
Section: The Convergence Of Ai 6g and Wireless Communicationmentioning
confidence: 99%
“…Ensuring the adaptability of ML models to rapidly changing wireless environments is an ongoing concern. Techniques like meta-learning, continuous learning, and Reinforcement Learning (RL) are under exploration to make ML models more agile and responsive to dynamic network conditions [ 175 , 176 ].…”
Section: Future Directionsmentioning
confidence: 99%
“…This could allow for transmitting high-quality images, videos, and data from the ocean's depths in real-time, providing a more immersive experience for deep sea observers. Additionally, 6G's improved network capacity and increased speed could support the deployment of underwater drones and other autonomous vehicles for deep-sea exploration [62]. These vehicles could be equipped with high-resolution cameras and other sensing devices to collect and transmit data, enabling the collection of more accurate and detailed information about the deep sea environment.…”
Section: Deep Sea Sightseeingmentioning
confidence: 99%