Scalable Video Caching for Information Centric Wireless Networks

Abstract

Recently, information centric wireless network (ICWN) has been concerned due to its flexible network structure and high efficiency of content delivery. Meanwhile, scalable video coding (SVC) is a promising solution to provide high quality of video services. Combining ICWN and SVC is expected to improve the performance of wireless video delivery services. Since caching strategy plays a significant role in ICWN, in this paper, we address the caching problem for scalable videos over ICWN in mobile scenarios. By jointly considering the layered structure of SVC and the hierarchical architecture of ICWN, we formulate an optimization problem to minimize the average download delay. A novel layered hierarchical caching method is proposed for solving the problem. Furthermore, we focus on a special but common case in which the above delay minimization problem is equivalently transformed into a cache hit ratio maximization problem. A simplified algorithm with 1/2 approximation ratio is provided. Finally, simulation results show that our proposed caching schemes outperform baseline methods in cache hit rate and delay performance.INDEX TERMS ICWN, SVC, wireless caching, video transmission.

An Adaptive Video Transmission Mechanism over MEC‐Based Content‐Centric Networks

“…By considering the quality of experience, the proposed algorithm switches to different sources. [13] utilizes a scalable video coding scheme and proposes caching algorithms to improve the video delivery services. The content centric communication model is used not only for static networks but also for high dynamic networks [33][34][35].…”

“…In [10][11][12], adaptive video streaming schemes in a wireless network environment are presented. The management of the data cache directly affects the availability of content; efficient cache management algorithms have been proposed [13][14][15].…”

A Classification of the Enabling Techniques for Low Latency and Reliable Communications in 5G and Beyond: AI-Enabled Edge Caching

“…Therefore, it reduces the content retrieval time for the IoT devices as it brings the required content near the subscriber by caching it on the nearby nodes [26], [35], [36], [108]- [114]. Other benefits of ICN and in-network caching for IoT networks include improved cache hit ratio, reduced hop count, increased content availability and reliability, reduced network traffic, and reduced energy consumption [102], [103], [106], [115]- [117].…”

“…Furthermore, a collaborative caching strategy may address the issue of dynamic topology changing, save the cache space, and reduce energy consumption. The benefits of combining ICN and scalable video coding were considered in [102] to improve the performance of wireless video delivery services in ICN. Particularly, the caching problem for scalable videos over ICN in mobile scenarios was investigated.…”

Joint Video Caching and Processing for Multi-Bitrate Videos in Ultra-Dense HetNets

“…where we remove constraint ( 12) and replaced constraints ( 5)-( 7) with relaxed constraints ( 28)- (30). Since both the objective function and the constraints are linear now, we can optimally solve this problem within polynomial time with standard linear programming solvers.…”