An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks
Document Type
Article
Publication Date
4-2018
Keywords
D2D communications, economic efficiency, offloading, Poisson point process, Stackelberg game
Digital Object Identifier (DOI)
https://doi.org/10.1109/TWC.2018.2791518
Abstract
Traffic offloading via device-to-device (D2D) communications has been proposed to alleviate the traffic burden on base stations and to improve the spectral and energy efficiency of cellular networks. The success of D2D communications relies on the willingness of users to share contents. In this paper, we study an economic aspect of traffic offloading via content sharing among multiple devices and propose an incentive framework for D2D assisted offloading. In the proposed incentive framework, the operator improves its overall profit, defined as the network economic efficiency (ECE), by encouraging users to act as D2D transmitters (D2D-Txs) which broadcast their popular contents to nearby users. We analytically characterize D2D-assisted offloading in cellular networks for two operating modes: 1) underlay mode and 2) overlay mode. We model the optimization of network ECE as a two-stage Stackelberg game, considering the densities of cellular users and D2D-Txs, the operator's incentives, and the popularity of contents. The closed-form expressions of network ECE for both underlay and overlay modes of D2D communications are obtained. Numerical results show that the achievable network ECE of the proposed incentive D2D-assisted offloading network can be significantly improved with respect to the conventional cellular networks, where the D2D communications are disabled.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
IEEE Transactions on Wireless Communications, v. 17, issue 4, p. 2289-2304
Scholar Commons Citation
Shang, Bodong; Zhao, Liqiang; Chen, Kwang-Cheng; and Chu, Xiaoli, "An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks" (2018). Electrical Engineering Faculty Publications. 13.
https://digitalcommons.usf.edu/ege_facpub/13