Research Article
Cache Resource Allocation in D2D Multi-layer Social Network
@INPROCEEDINGS{10.1007/978-3-030-67514-1_17, author={Xianglin Kong and Pingping Chen and Zhijian Lin and Ying Wang and Yongcheng Yang}, title={Cache Resource Allocation in D2D Multi-layer Social Network}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={Cache storage Centrality value D2D Social-aware Edge caching}, doi={10.1007/978-3-030-67514-1_17} }- Xianglin Kong
Pingping Chen
Zhijian Lin
Ying Wang
Yongcheng Yang
Year: 2021
Cache Resource Allocation in D2D Multi-layer Social Network
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_17
Abstract
In cache-enabled device-to-device (D2D) cellular networks, efficient utilization of mobile terminal cache storage reduces peak traffic demands and has a substantial impact on network performance. The combined impact of centrality value and cache memory size of user equipment (UE) are two crucial factors in D2D network, which are ignored in the existing researches. In this paper, an optimization algorithm is proposed to calculate the value of effect centrality (EC) to maximize the cache storage utilization considering various locations and preference of UEs. Firstly, users are clustered according to location, and users in the cluster form a multi-layer social network according to the preference of the requested content. Then based on the user’s location, the effect centrality value is calculated, and the general mathematical expressions for the optimization of cache storage utilization with the constraints of effect centrality value and total cache storage is obtained. Subsequently, a Cache Storage Allocation (CSA) algorithm is proposed to obtain the cache storage utilization by taking the value of effect centrality as a variable. Simulation results show that the size of the effect centrality value will affect the utilization of the user’s cache storage. Compared with the other two traditional methods, the proposed CSA can achieve the highest cache storage utilization.
