Proactive caching holds the promise of improving network throughput and lowering transmission costs in content-centric networks. However, how to encode data in cache-aided networks is still an open problem. In this paper, a two-phase caching system is investigated, in which users are equipped with buffers and user requests are characterized by a probability measure. Based on content division, a unified framework for caching in arbitrary networks is presented. From the perspective of linear space, optimization problems are formulated to obtain the optimal linear coded joint placement and delivery (LCJPD) policy. A low-complexity algorithm is also proposed to give a sub-optimal LCJPD policy. Simulation results demonstrate that caching in networks can significantly reduce the transmission cost.
|Title of host publication
|2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
|Institute of Electrical and Electronics Engineers Inc.
|Published - Jan 31 2019
|23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
Duration: Nov 19 2018 → Nov 21 2018
|International Conference on Digital Signal Processing, DSP
|23rd IEEE International Conference on Digital Signal Processing, DSP 2018
|11/19/18 → 11/21/18
All Science Journal Classification (ASJC) codes
- Signal Processing
- Proactive caching in networks
- linear coded joint placement and delivery
- transmission cost