James Nightingale

TL;DR: A new cloud-supported UAV application framework is proposed and a prototype system of such framework has been implemented, which is presented to demonstrate the feasibility ofsuch framework.

TL;DR: 5G-QoE would enable a holistic video flow self-optimisation system employing the cutting-edge Scalable H.265 video encoding to transmit UHD video applications in a QoE-aware manner.

TL;DR: Outputs from this work may be used in the development of quality of experience (QoE) oriented streaming applications for HEVC in loss prone networks and quantifies the effects of network impairment on HEVC video streaming from the perspective of the end user.

TL;DR: This work considers the practical barriers to HEVC streaming in realistic environments and proposes HEVStream, a streaming and evaluation framework for HEVC encoded content that fills the current gap in enabling networked HEVC visual applications and permits the implementation, testing and evaluation of HeVC encoded video streaming under a range of packet loss, bandwidth restriction and network delay scenarios in a realistic testbed environment.

TL;DR: In the paper, the reference architecture of SELFNET, which is divided into Infrastructure Layer, Virtualized Network Layer, SON Control Layer,SON Autonomic Layer, NFV Orchestration and Management Layer, and Access Layer, will be presented.