Name
Abstract | ||
|---|---|---|
The radio access network (RAN) cooperative caching, which explores the scale effect through cooperative content sharing and caching among multiple RAN caches, is considered as one effective way to fully benefit from the RAN cache. In this paper, we study the feasibility and self-organizing algorithm for RAN cooperative caching. Specifically, we first analyze the real-world dataset of daily content requests from 10 LTE Base Stations (BSs), and find that pursuing high hit rate does not guarantee the reduction of backhaul traffic. Besides, it is shown that content requests from different BSs feature strongly temporal and spatial correlations. To the best of our knowledge, this finding proves the feasibility of RAN cooperative caching for the first time. Then, based on our findings, we propose the self-organizing algorithm for RAN caches to individually decide on how to update their cached content objects, utilizing the defined utility with consideration of the link states among RAN caches, and the size and the request number of the missed and cached content objects. Finally, the performance of our proposed algorithm is validated based on real-world dataset. The results show that the proposed algorithm achieves significant improvement in reducing backhaul traffic. For instance, when cache capacity of each BS is 65% of the traffic generated by non-repeated content objects which are requested in one day over its coverage, the proposed algorithm with 8 defined cooperative caches (CoCas) reaches an average reduction of more than 60% of the backhaul traffic generated in one day over the BS's coverage. |
Year | Venue | Field |
|---|---|---|
2016 | 2016 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE | Hit rate,Base station,Algorithm design,Backhaul (telecommunications),Computer science,Cache,Algorithm,Computer network,False sharing,Real-time computing,Ran,Radio access network |
DocType | ISSN | Citations |
Conference | 1525-3511 | 3 |
PageRank | References | Authors |
0.44 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zejue Wang | 1 | 24 | 4.75 |
| Hongjia Li | 2 | 21 | 4.26 |
| Chang Yang | 3 | 3 | 0.44 |