Abstract
The last two decades have witnessed a rapid development of wireless communication technology. Unfortunately, naturally limited radio spectrum is becoming a more and more serious bottleneck of ongoing growth of wireless applications and services. Existing static spectrum management leads to low spectrum utilization in spatial and temporal dimensions. Therefore, an open and market-based framework is highly needed to dynamically redistribute the radio spectrum, and thus improve the utilization of the radio spectrum. In this book, we study the problem of spectrum/channel allocation from a game-theoretic perspective, in which the nodes in the wireless network are rational and always pursue their own objectives.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chandra, R., Mahajan, R., Moscibroda, T., Raghavendra, R., Bahl, P.: A case for adapting channel width in wireless networks. In: Proceedings of ACM SIGCOMM 2008 Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Seattle, WA (2008)
Federal Communications Commission (FCC): http://www.fcc.gov/
Radio Administration Bureau (RAB): http://wgj.miit.gov.cn/
Spectrum Bridge, Inc.: http://www.spectrumbridge.com
Wu, F., Vaidya, N.: SMALL: a strategy-proof mechanism for radio spectrum allocation. In: Proceedings of 30th Annual IEEE Conference on Computer Communications (INFOCOM), Shanghai, China (2011)
Zhou, X., Zheng, H.: TRUST: a general framework for truthful double spectrum auctions. In: Proceedings of 28th Annual IEEE Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil (2009)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2014 The Author(s)
About this chapter
Cite this chapter
Wu, F. (2014). Introduction. In: Game Theoretic Approaches for Spectrum Redistribution. SpringerBriefs in Electrical and Computer Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0500-3_1
Download citation
DOI: https://doi.org/10.1007/978-1-4939-0500-3_1
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-0499-0
Online ISBN: 978-1-4939-0500-3
eBook Packages: Computer ScienceComputer Science (R0)