HAMEC-RSMA: Enhanced aerial computing systems with rate splitting multiple access
Aerial networks have been widely considered a crucial component for ubiquitous coverage
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …
in the next-generation mobile networks. In this scenario, mobile edge computing (MEC) and …
Energy efficient computation offloading in aerial edge networks with multi-agent cooperation
With the high flexibility of supporting resource-intensive and time-sensitive applications,
unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an …
unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) is proposed as an …
Adaptive computation offloading policy for multi-access edge computing in heterogeneous wireless networks
H Ke, H Wang, W Sun, H Sun - IEEE Transactions on Network …, 2021 - ieeexplore.ieee.org
In heterogeneous wireless networks, massive mobile terminals randomly generate a large
number of computation tasks (payloads). How to better manage these mobile terminals …
number of computation tasks (payloads). How to better manage these mobile terminals …
Computing assistance from the sky: Decentralized computation efficiency optimization for air-ground integrated MEC networks
This letter proposes a multi-agent deep reinforcement learning (MADRL) framework for
resource allocation in air-ground integrated multi-access edge computing (MEC) networks …
resource allocation in air-ground integrated multi-access edge computing (MEC) networks …
A comprehensive survey on aerial mobile edge computing: Challenges, state-of-the-art, and future directions
Driven by the visions of Internet of Things (IoT), there is an ever-increasing demand for
computation resources of IoT users to support diverse applications. Mobile edge computing …
computation resources of IoT users to support diverse applications. Mobile edge computing …
Unmanned-aerial-vehicle-assisted computation offloading for mobile edge computing based on deep reinforcement learning
H Wang, H Ke, W Sun - IEEE Access, 2020 - ieeexplore.ieee.org
Users in heterogeneous wireless networks may generate massive amounts of data that are
delay-sensitive or require computation-intensive processing. Owing to computation ability …
delay-sensitive or require computation-intensive processing. Owing to computation ability …
Meta Reinforcement Learning for Resource Allocation in Aerial Active-RIS-assisted Networks with Rate-Splitting Multiple Access
Mounting a reconfigurable intelligent surface (RIS) on an unmanned aerial vehicle (UAV)
holds promise for improving traditional terrestrial network performance. Unlike conventional …
holds promise for improving traditional terrestrial network performance. Unlike conventional …
IRS assisted NOMA aided mobile edge computing with queue stability: Heterogeneous multi-agent reinforcement learning
By employing powerful edge servers for data processing, mobile edge computing (MEC) has
been recognized as a promising technology to support emerging computation-intensive …
been recognized as a promising technology to support emerging computation-intensive …
AI-driven UAV-NOMA-MEC in next generation wireless networks
Driven by the unprecedented high throughput and low latency requirements anticipated for
next generation wireless networks, this article introduces an artificial intelligence (AI) …
next generation wireless networks, this article introduces an artificial intelligence (AI) …
Hierarchical multi-agent deep reinforcement learning for energy-efficient hybrid computation offloading
Mobile edge computing (MEC) provides an economical way for the resource-constrained
edge users to offload computational workload to MEC servers co-located with the access …
edge users to offload computational workload to MEC servers co-located with the access …