Dan Wang

TL;DR: A novel paradigm is proposed, 5G Intelligent Internet of Things (5G I-IoT), to process big data intelligently and optimize communication channels and the effective utilization of channels and QoS have been greatly improved.

TL;DR: A four-layer distributed networking framework and a hierarchical MAS model are introduced, which integrates artificial intelligence and CR technology into a sophisticated multi-agent system (MAS) and is a novel paradigm for 5G cellular communication networks.

TL;DR: This article proposes a blockchain-enabled task offloading scheme, where the viewport rendering tasks of VR devices (VDs) can be offloaded to edge access points (EAPs) and a novel collective reinforcement learning (CRL) algorithm is proposed to adaptively allocate resources based on the requirements of view port rendering, block consensus, and content transmission.

TL;DR: This article proposes an energy-aware resource management scheme for wireless-VR-supported IIoTs, and forms the viewport rendering offloading, computing, and spectrum resource allocation to be a joint optimization problem, considering content correlation between VEs, fluctuating channel conditions, and VR quality of experience.

TL;DR: This paper investigates the optimal policy for resource allocation in ICWNs by maximizing the spectrum efficiency and system capacity of the overall network by using the Gaussian distribution as the parameterization strategy and softmax to output channel selection to maximize system capacity and spectrum efficiency while avoiding interference to cellular users.