Matching theory for future wireless networks: fundamentals and applications


The emergence of novel wireless networking paradigms like tiny cell and cognitive radio networks has forever transformed the way in that wireless systems are operated. In specific, the necessity for self-organizing solutions to manage the scarce spectral resources has become a prevalent theme in many rising wireless systems. In this article, the first comprehensive tutorial on the employment of matching theory, a Nobel Prize winning framework, for resource management in wireless networks is developed. To cater for the distinctive features of rising wireless networks, a novel, wireless-oriented classification of matching theory is proposed. Then the key solution ideas and algorithmic implementations of this framework are exposed. The developed ideas are applied in 3 important wireless networking areas so as to demonstrate the usefulness of this analytical tool. Results show how matching theory will effectively improve the performance of resource allocation in all three applications discussed.

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