Title
Incentive mechanism design for cache-assisted D2D communications: A mobility-aware approach
Abstract
Caching popular contents at mobile devices, assisted by device-to-device (D2D) communications, is considered as a promising technique for mobile content delivery. It can effectively reduce backhaul traffic and service cost, as well as improving the spectrum efficiency. However, due to the selfishness of mobile users, incentive mechanisms will be needed to motivate device caching. In this paper, we investigate incentive mechanism design in cache-assisted D2D networks, taking advantage of the user mobility information. An inter-contact model is adopted to capture the average time between two consecutive contacts of each device pair. A Stackelberg game is formulated, where each user plays as a follower aiming at maximizing its own utility and the mobile network operator (MNO) plays as a leader aiming at minimizing the cost. Assuming that user responses can be predicted by the MNO, a cost minimization problem is formulated. Since this problem is NP-hard, we reformulate it as a non-negative submodular maximization problem and develop a (1/4+∊)-approximation local search algorithm to solve it. In the simulation, we demonstrate that the local search algorithm provides near optimal performance. By comparing with other caching strategies, we validate the effectiveness of the proposed incentive-based mobility-aware caching strategy.
Year
DOI
Venue
2017
10.1109/SPAWC.2017.8227678
2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Keywords
DocType
Volume
backhaul traffic,service cost,spectrum efficiency,mobile users,incentive mechanisms,device caching,incentive mechanism design,user mobility information,inter-contact model,nonnegative submodular maximization problem,caching strategies,mobility-aware caching strategy,mobile devices,device-to-device communications,D2D,mobile content delivery
Conference
abs/1705.03429
ISSN
ISBN
Citations 
2325-3789
978-1-5090-3010-1
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Rui Wang116821.18
Jun Zhang23772190.36
K. B. Letaief311078879.10