Incentive Design and Market Evolution of Mobile User-Provided Networks
February 23, 2015 ยท Declared Dead ยท ๐ Conference on Computer Communications Workshops
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj
arXiv ID
1502.06327
Category
cs.GT: Game Theory
Cross-listed
cs.NI
Citations
21
Venue
Conference on Computer Communications Workshops
Last Checked
2 months ago
Abstract
An operator-assisted user-provided network (UPN) has the potential to achieve a low cost ubiquitous Internet connectivity, without significantly increasing the network infrastructure investment. In this paper, we consider such a network where the network operator encourages some of her subscribers to operate as mobile Wi-Fi hotspots (hosts), providing Internet connectivity for other subscribers (clients). We formulate the interaction between the operator and mobile users as a two-stage game. In Stage I, the operator determines the usage-based pricing and quota-based incentive mechanism for the data usage. In Stage II, the mobile users make their decisions about whether to be a host, or a client, or not a subscriber at all. We characterize how the users' membership choices will affect each other's payoffs in Stage II, and how the operator optimizes her decision in Stage I to maximize her profit. Our theoretical and numerical results show that the operator's maximum profit increases with the user density under the proposed hybrid pricing mechanism, and the profit gain can be up to 50\% in a dense network comparing with a pricing-only approach with no incentives.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Game Theory
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
A Motivational Game-Theoretic Approach for Peer-to-Peer Energy Trading in the Smart Grid
R.I.P.
๐ป
Ghosted
Computing Resource Allocation in Three-Tier IoT Fog Networks: a Joint Optimization Approach Combining Stackelberg Game and Matching
R.I.P.
๐ป
Ghosted
Fast Convergence of Regularized Learning in Games
R.I.P.
๐ป
Ghosted
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks
R.I.P.
๐ป
Ghosted
Blockchain Mining Games
Died the same way โ ๐ป Ghosted
R.I.P.
๐ป
Ghosted
Language Models are Few-Shot Learners
R.I.P.
๐ป
Ghosted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
R.I.P.
๐ป
Ghosted
XGBoost: A Scalable Tree Boosting System
R.I.P.
๐ป
Ghosted