Research Article
Energy-Efficient Coded Caching and Resource Allocation for Smart Grid-Supported HetNets
@INPROCEEDINGS{10.1007/978-3-030-41114-5_8, author={Fangfang Yin and Junyi Lyu and Danpu Liu and Zhilong Zhang and Minyin Zeng}, title={Energy-Efficient Coded Caching and Resource Allocation for Smart Grid-Supported HetNets}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2020}, month={2}, keywords={Coded caching Matching Energy cooperation Smart grid Resource allocation}, doi={10.1007/978-3-030-41114-5_8} }- Fangfang Yin
Junyi Lyu
Danpu Liu
Zhilong Zhang
Minyin Zeng
Year: 2020
Energy-Efficient Coded Caching and Resource Allocation for Smart Grid-Supported HetNets
CHINACOM
Springer
DOI: 10.1007/978-3-030-41114-5_8
Abstract
Compared with uncoded caching, coded caching (CC) that exploits accumulated cache size and distributes fractions of a file in different base stations (BSs), can significantly reduce delays and backhaul transmissions. Small base stations (SBSs) with both cache and energy harvesting (EH) ability have attracted extensive attention in recent years. Moreover, renewable energy (RE) also called green energy can be shared between SBSs via the Smart Grid (SG). This paper investigates CC, resource allocation (RA) and energy cooperation (EC) in cache-enabled energy harvesting (EH) heterogeneous networks (HetNets). We formulate the joint optimization problem, aims at minimizing the conventional grid energy consumption while satisfying quality of service (QoS) requirements of users. Simulation results demonstrate the considerable reduction in conventional grid energy consumption compared with other benchmarks.
