Journal
IEEE SIGNAL PROCESSING MAGAZINE
Volume 33, Issue 6, Pages 103-122Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MSP.2016.2598848
Keywords
-
Categories
Funding
- ARC [DP150104019, FT120100487]
- faculty research cluster program
- faculty early career researcher scheme from the faculty of engineering and information technologies
- University of Sydney
- U.S. NSF [CPS-1646607, ECCS-1547201, CCF-1456921, CNS1443917, ECCS-1405121]
- NSFC [61428101]
Ask authors/readers for more resources
Matching theory is a powerful tool to study the formation of dynamic and mutually beneficial relations among different types of rational and selfish agents. It has been widely used to develop high performance, low complexity, and decentralized protocols. In this article, a comprehensive survey of matching theory, its variants, and their significant properties appropriate for the demands of wireless communications and network engineers is provided. Recent research progress in applying matching theory to wireless communications to address major technical opportunities and challenges is presented. A novel classification of matching models from the practical perspective is provided, and the properties and structure of each model are explained. This will enable a network designer to select an appropriate matching model for a specific application in wireless communications. Finally, the application of different matching models to various emerging wireless networks is discussed.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available