Rate-splitting multiple access aided mobile edge computing with randomly deployed users
In this paper, a rate-splitting multiple access (RSMA) scheme is proposed to aid a mobile
edge computing (MEC) system where multiple randomly deployed users offload their …
edge computing (MEC) system where multiple randomly deployed users offload their …
Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processing
This work presents an efficient framework that combines High Altitude Platform (HAP)-based
Mobile Edge Computing (MEC) networks with Wireless Power Transfer (WPT) to optimize …
Mobile Edge Computing (MEC) networks with Wireless Power Transfer (WPT) to optimize …
Delay minimization for rate-splitting multiple access-based multi-server mec offloading
Rate-Splitting Multiple Access (RSMA) has been recently recognized as a more general
multiple access technique that overcomes the limiting factors of its predecessors related to …
multiple access technique that overcomes the limiting factors of its predecessors related to …
A survey on deep reinforcement learning-driven task offloading in aerial access networks
Internet of Things computation offloading is a challenging problem, particularly in distant
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …
places where mobile edge computing (MEC) or cloud infrastructure is absent. Fortunately …
[HTML][HTML] HAP-assisted RSMA-enabled vehicular edge computing: A DRL-based optimization framework
In recent years, the demand for vehicular edge computing (VEC) has grown rapidly due to
the increasing need for low-latency and high-throughput applications such as autonomous …
the increasing need for low-latency and high-throughput applications such as autonomous …
Rate-splitting and common message decoding in hybrid cloud/mobile edge computing networks
This paper proposes, and evaluates the benefits of, a hybrid central cloud (CC) and mobile
edge computing (MEC) platform, especially introduced to balance the network resources for …
edge computing (MEC) platform, especially introduced to balance the network resources for …
Recent studies on deep reinforcement learning in RIS-UAV communication networks
Unmanned aerial vehicle (UAV) and reconfigurable intelligent surface (RIS) technologies
have recently been identified as enablers for future wireless networks. Deep reinforcement …
have recently been identified as enablers for future wireless networks. Deep reinforcement …
Deep reinforcement learning-based partial task offloading in high altitude platform-aided vehicular networks
Compared with traditional terrestrial access networks, a mobile edge computing-enabled
aerial access network is a potential paradigm for performing complicated computations by …
aerial access network is a potential paradigm for performing complicated computations by …
[HTML][HTML] Investigation of a HAP-UAV collaboration scheme for throughput maximization via joint user association and 3D UAV placement
In this paper, a collaboration scheme between a high-altitude platform (HAP) and several
unmanned aerial vehicles (UAVs) for wireless communication networks is investigated. The …
unmanned aerial vehicles (UAVs) for wireless communication networks is investigated. The …
[HTML][HTML] TD3-Based Optimization Framework for RSMA-Enhanced UAV-Aided Downlink Communications in Remote Areas
The need for reliable wireless communication in remote areas has led to the adoption of
unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs). FlyBSs hover over a …
unmanned aerial vehicles (UAVs) as flying base stations (FlyBSs). FlyBSs hover over a …