Optimized video content delivery for mobile networks using the transformative computing model

Abstract It is a challenge for future mobile networks to cope with enormous video traffic due to bottlenecks of the backhaul capacity and spectrum shortages. To address this situation, we study a content delivery solution for video-on-demand (VoD) applications in orthogonal frequency division multiplexing (OFDM)-based mobile networks in this paper. As done in some transformative computing models, the proposed solution firstly collects the user and environment information, and then computes a global-optimized video delivery scheme based on the collected information. The video delivery scheme is orchestrated using a novel video delivery model that implements deep cooperation among video users and device-to-device (D2D) communications. Several orchestration algorithms are proposed to improve the performance of video delivery.