Research Article
Probabilistic Caching in Wireless Device to Device Networks with Contention Based Multimedia Delivery
@INPROCEEDINGS{10.1007/978-3-319-72823-0_41, author={Xiaoshi Song and Yuting Geng and Xiangbo Meng and Ning Ye and Jun Liu and Weimin Lei}, title={Probabilistic Caching in Wireless Device to Device Networks with Contention Based Multimedia Delivery}, proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings}, proceedings_a={5GWN}, year={2018}, month={1}, keywords={Cache-enabled D2D networks Contention based multimedia delivery protocol Optimal probabilistic caching strategy Stochastic geometry Transmission probability Cache hit probability Successful content delivery probability}, doi={10.1007/978-3-319-72823-0_41} }- Xiaoshi Song
Yuting Geng
Xiangbo Meng
Ning Ye
Jun Liu
Weimin Lei
Year: 2018
Probabilistic Caching in Wireless Device to Device Networks with Contention Based Multimedia Delivery
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_41
Abstract
This paper studies the optimal probabilistic caching placement in large-scale cache-enabled D2D networks to maximize the cache hit performance, which is defined as the probability that a random user request can be served by mobile helpers (MHs) in the vicinity. To avoid collisions of the concurrent transmissions, a contention based multimedia delivery protocol is proposed, under which a MH is allowed to transmit only if its back-off timer is the smallest among its associated contenders. By applying tools from stochastic geometry, the optimal caching probability is derived and analyzed. It is shown that the optimal solution of the probabilistic caching placement depends on the density of MHs, the D2D communication range, and the user request distribution. With the derived optimal caching probabilities, we further characterize the transmission probability of MHs and thereby the successful content delivery probability of the cache-enabled D2D network. Simulations are provided to validate our analysis.
