Distributed Cache Placement and User Association in Multicast-Aided Heterogeneous Networks

The small cells have been equipped with caching and multicast capabilities to save energy and ease backhaul burden. However, given the increasing diversity of user association in heterogeneous networks, traditional schemes may fail to exploit the energy-saving potential of caching and multicast. In...

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Bibliographic Details
Published in:IEEE access 2017-01, Vol.5, p.25365-25376
Main Authors: He, Shuo, Tian, Hui, Lyu, Xinchen, Nie, Gaofeng, Fan, Shaoshuai
Format: Article
Language:English
Subjects:
Algorithms
Caching
Cooperative caching
Electronic devices
Energy conservation
Heterogeneous networks
Lower bounds
Mobile communication
multicast transmission
Multicasting
Networks
Optimization
Placement
Power consumption
Power demand
Power management
Scheduling
set partition problem
Unicast
Wireless communication
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Summary:The small cells have been equipped with caching and multicast capabilities to save energy and ease backhaul burden. However, given the increasing diversity of user association in heterogeneous networks, traditional schemes may fail to exploit the energy-saving potential of caching and multicast. In this paper, we propose the model to minimize total power consumption by jointly optimizing the user association and cache deployment. The formulated joint optimization problem is decomposed and reformulated as a NP-complete set partition problem. Motivated by the idea of the tactile networks, the devices can find the candidate user grouping based on its own utility. The utility function is judiciously designed to reduce the searching space without compromising optimality. Then, a heuristic caching algorithm is proposed by rigorously deriving the upper and lower bounds of cache placement. Simulation results show that our proposed scheme outperforms the other existing multicast and caching algorithms in terms of power consumption by up to 28%, while keeping the load among base stations balanced.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2017.2769664