Skip to main content

Game Theoretic Approaches to Massive Data Processing in Wireless Networks

Author(s): Zheng, Zijie; Song, Lingyang; Han, Zhu; Li, Geoffrey Ye; Poor, H Vincent

To refer to this page use:
Abstract: Wireless communication networks are becoming highly virtualized with two-layer hierarchies, in which controllers at the upper layer with tasks to achieve can ask a large number of agents at the lower layer to help realize computation, storage, and transmission functions. Through offloading data processing to the agents, the controllers can accomplish otherwise prohibitive big data processing. Incentive mechanisms are needed for the agents to perform the controllers' tasks in order to satisfy the corresponding objectives of controllers and agents. In this article, a hierarchical game framework with fast convergence and scalability is proposed to meet the demand for real-time processing for such situations. Possible future research directions in this emerging area are also discussed.
Publication Date: 28-Feb-2018
Citation: Zheng, Zijie, Song, Lingyang, Han, Zhu, Li, Geoffrey Ye, Poor, H Vincent. (2018). Game Theoretic Approaches to Massive Data Processing in Wireless Networks. IEEE Wireless Communications, 25 (1), 98 - 104. doi:10.1109/mwc.2018.1700175
DOI: doi:10.1109/mwc.2018.1700175
ISSN: 1536-1284
Pages: 98 - 104
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Wireless Communications
Version: Author's manuscript

Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.