Name
Abstract | ||
|---|---|---|
To meet the requirements of lower latency and massive data transmission in wireless Virtual Reality (VR) applications, a mobile edge computing (MEC) enabled VR transmission system is proposed over Cloud Radio Access Network (C-RAN). In the proposed system, an MEC-Cache server is deployed in the pooled base band units (BBU pool) for VR video synthesizing and the video contents can be cached both in the BBU pool and the remote radio heads (RRHs). In addition, a hierarchical and collaborative caching problem is formulated as an integer linear program (ILP) that minimizes the transmission latency, and an online caching strategy is proposed to address the NP completeness of the problem. Rigorous numerical simulations show that, by considering the view synthesis feature of VR videos, the proposed caching scheme always yields better performance in terms of cache hit rate and average transmission latency than other employed caching algorithms. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/WCNCW.2019.8902723 | 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW) |
Keywords | Field | DocType |
Virtual Reality(VR),Hierarchical Caching,View Synthesis,Mobile Edge Computing (MEC),Cloud Radio Access Network (C-RAN) | Wireless,Virtual reality,Data transmission,Cache,Computer science,Computer network,Real-time computing,Cache algorithms,Mobile edge computing,Transmission system,Radio access network | Conference |
ISSN | ISBN | Citations |
2167-8189 | 978-1-7281-0923-7 | 0 |
PageRank | References | Authors |
0.34 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianmei Dai | 1 | 5 | 1.12 |
| Danpu Liu | 2 | 56 | 18.35 |