Research Article
Performance Analysis for Caching in Multi-tier IoT Networks with Joint Transmission
@INPROCEEDINGS{10.1007/978-3-030-63941-9_26, author={Tianming Feng and Shuo Shi and Xuemai Gu and Zhenyu Xu}, title={Performance Analysis for Caching in Multi-tier IoT Networks with Joint Transmission}, proceedings={6GN for Future Wireless Networks. Third EAI International Conference, 6GN 2020, Tianjin, China, August 15-16, 2020, Proceedings}, proceedings_a={6GN}, year={2021}, month={1}, keywords={IoT networks Cache-enabled networks Joint transmission}, doi={10.1007/978-3-030-63941-9_26} }- Tianming Feng
Shuo Shi
Xuemai Gu
Zhenyu Xu
Year: 2021
Performance Analysis for Caching in Multi-tier IoT Networks with Joint Transmission
6GN
Springer
DOI: 10.1007/978-3-030-63941-9_26
Abstract
The rapid growth of the number of IoT devices in the network has brought huge traffic pressure to the network. Caching at the edge has been regarded as a promising technique to solve this problem. However, how to further improve the successful transmission probability (STP) in cache-enabled multi-tier IoT networks (CMINs) is still an open issue. To this end, this paper proposes a base station (BS) joint transmission scheme in CMIN where the nearest BS that stores the requested files in each tier is selected to cooperatively serve the typical UE. Based on the proposed scheme, we derive an integral expression for the STP, and optimize the content caching strategy for a two-tier network case. The gradient projection method is used to solve the optimization problem, and a locally optimal caching strategy (LCS) is obtained. Numerical simulations show that the LCS achieves a significant gain in STP over three comparative baseline strategies.
