Computation Offloading Strategies in Integrated Terrestrial and Non-Terrestrial Networks
Journal:
arXiv
Published Date:
Feb 21, 2025
Abstract
The rapid growth of computation-intensive applications like augmented
reality, autonomous driving, remote healthcare, and smart cities has exposed
the limitations of traditional terrestrial networks, particularly in terms of
inadequate coverage, limited capacity, and high latency in remote areas. This
chapter explores how integrated terrestrial and non-terrestrial networks
(IT-NTNs) can address these challenges and enable efficient computation
offloading. We examine mobile edge computing (MEC) and its evolution toward
multiple-access edge computing, highlighting the critical role computation
offloading plays for resource-constrained devices. We then discuss the
architecture of IT-NTNs, focusing on how terrestrial base stations, unmanned
aerial vehicles (UAVs), high-altitude platforms (HAPs), and LEO satellites work
together to deliver ubiquitous connectivity. Furthermore, we analyze various
computation offloading strategies, including edge, cloud, and hybrid
offloading, outlining their strengths and weaknesses. Key enabling technologies
such as NOMA, mmWave/THz communication, and reconfigurable intelligent surfaces
(RIS) are also explored as essential components of existing algorithms for
resource allocation, task offloading decisions, and mobility management.
Finally, we conclude by highlighting the transformative impact of computation
offloading in IT-NTNs across diverse application areas and discuss key
challenges and future research directions, emphasizing the potential of these
networks to revolutionize communication and computation paradigms.
