Adaptive video streaming with edge caching and video transcoding over software-defined mobile networks: A deep reinforcement learning approach
Both mobile edge cloud (MEC) and software-defined networking (SDN) are technologies for
next generation mobile networks. In this paper, we propose to simultaneously optimize …
next generation mobile networks. In this paper, we propose to simultaneously optimize …
Joint server selection, cooperative offloading and handover in multi-access edge computing wireless network: A deep reinforcement learning approach
Multi-access edge computing (MEC) is the key enabling technology that supports compute-
intensive applications in 5G networks. By deploying powerful servers at the edge of wireless …
intensive applications in 5G networks. By deploying powerful servers at the edge of wireless …
Weighted utility aware computational overhead minimization of wireless power mobile edge cloud
Abstract Fifth-generation (5G) wireless networks are projected to support a large number of
low-power devices, which are an essential component of Internet of Things (IoT) …
low-power devices, which are an essential component of Internet of Things (IoT) …
Toward robust and intelligent drone swarm: Challenges and future directions
The rapid development of Space-Air-Ground integrated network, IoT, and swarm-based
robotic systems has promoted the transformation of traditional single drone toward drone …
robotic systems has promoted the transformation of traditional single drone toward drone …
Efficient computation offloading in multi-tier multi-access edge computing systems: A particle swarm optimization approach
In recent years, multi-access edge computing (MEC) has become a promising technology
used in 5G networks based on its ability to offload computational tasks from mobile devices …
used in 5G networks based on its ability to offload computational tasks from mobile devices …
Slow-movement particle swarm optimization algorithms for scheduling security-critical tasks in resource-limited mobile edge computing
Mobile edge computing (MEC) allows mobile devices to offload computation tasks to nearby
MEC servers for achieving low latency and energy efficiency. This paper aims at scheduling …
MEC servers for achieving low latency and energy efficiency. This paper aims at scheduling …
Relay cooperation enhanced backscatter communication for Internet-of-Things
B Lyu, Z Yang, H Guo, F Tian… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In this paper, we propose a relay cooperation scheme for backscatter communication
systems for performance enhancement, in which one user backscatters incident signals from …
systems for performance enhancement, in which one user backscatters incident signals from …
Toward intelligent task offloading at the edge
With the booming development of IoT and massive smart MDs springing up in daily life, the
conflict between resource-hungry IoT applications and resource-constrained MDs becomes …
conflict between resource-hungry IoT applications and resource-constrained MDs becomes …
Inter-server collaborative federated learning for ultra-dense edge computing
Increasingly serious data security and privacy protection issues make federated learning
(FL) gradually evolve to be an important technology in the field of artificial intelligence (AI) …
(FL) gradually evolve to be an important technology in the field of artificial intelligence (AI) …
ResInNet: A novel deep neural network with feature reuse for Internet of Things
Deep neural networks (DNNs) have widely used in various Internet-of-Things (IoT)
applications. Pursuing superior performance is always a hot spot in the field of DNN …
applications. Pursuing superior performance is always a hot spot in the field of DNN …