TY - GEN
T1 - Energy-Efficient Multi-Tier Caching and Node Association in Heterogeneous Fog Networks
AU - Wang, Kunlun
AU - Li, Jun
AU - Yang, Yang
AU - Chen, Wen
AU - Hanzo, Lajos
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11
Y1 - 2020/11
N2 - Caching popular contents at heterogeneous devices, e.g., fog nodes (FNs) or fog access points (FAPs), constitutes a promising technique of reducing both the traffic and the energy consumption of the backhaul links. In this paper, we propose an energy-efficient caching and node association algorithm for cache-aided fog networks. First, we solve the problem of energy-efficient content caching and delivery in the FNs/FAPs. In both caching scenarios, we investigate the relationship between the caching probability of the file and the energy-efficient content delivery by formulating the associated energy efficiency (EE) optimization problem. Then, we derive a joint modulation mode allocation strategy and caching policy for each content caching node and conceive a joint node association and caching algorithm. Finally, we quantify both the overall EE and throughput for demonstrating that the proposed caching and transmission strategy achieves significant performance improvements.
AB - Caching popular contents at heterogeneous devices, e.g., fog nodes (FNs) or fog access points (FAPs), constitutes a promising technique of reducing both the traffic and the energy consumption of the backhaul links. In this paper, we propose an energy-efficient caching and node association algorithm for cache-aided fog networks. First, we solve the problem of energy-efficient content caching and delivery in the FNs/FAPs. In both caching scenarios, we investigate the relationship between the caching probability of the file and the energy-efficient content delivery by formulating the associated energy efficiency (EE) optimization problem. Then, we derive a joint modulation mode allocation strategy and caching policy for each content caching node and conceive a joint node association and caching algorithm. Finally, we quantify both the overall EE and throughput for demonstrating that the proposed caching and transmission strategy achieves significant performance improvements.
UR - https://www.scopus.com/pages/publications/85096321768
U2 - 10.1109/VTC2020-Fall49728.2020.9348651
DO - 10.1109/VTC2020-Fall49728.2020.9348651
M3 - 会议稿件
AN - SCOPUS:85096321768
T3 - IEEE Vehicular Technology Conference
BT - 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
Y2 - 18 November 2020
ER -