Resource Distribution Approaches in Spectrum Sharing Systems
<p/> <p>It is increasingly difficult to satisfy growing demands for spectrum with the conventional policy of fixed spectrum allocation. To overcome this problem, flexible/dynamic spectrum sharing methods that can significantly improve spectrum utilization of the spectrum have gained incr...
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2008-01-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Online Access: | http://jwcn.eurasipjournals.com/content/2008/598080 |
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doaj-9eb0332fd7814ca58b9978b802231a102020-11-25T02:25:22ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992008-01-0120081598080Resource Distribution Approaches in Spectrum Sharing SystemsBurgkhardt DennisJondral FriedrichKCosovic IvanYamada Takefumi<p/> <p>It is increasingly difficult to satisfy growing demands for spectrum with the conventional policy of fixed spectrum allocation. To overcome this problem, flexible/dynamic spectrum sharing methods that can significantly improve spectrum utilization of the spectrum have gained increasing interest recently. This paper presents two dynamic spectrum sharing approaches, a centralized and a decentralized one. The centralized approach is based on hierarchical trading. Each level of hierarchy is composed of "markets" that are associated with a certain spatial area and trading occurrence frequency, whereas area size and trading occurrence frequency depend on the hierarchy level. The decentralized approach is based on game-theory. There, it is assumed that the operators are averse to unequal payoffs and act unselfishly, enabling a stable and sustainable community. Numerical results show that, in the observed scenario, both proposals outperform the reference case of fixed resource allocation significantly in terms of utilized bandwidth. Whereas, negotiation costs for spectrum brokerage appear in the centralized approach, nonnegligible amounts of spectrum are lost in the decentralized approach due to collisions. Thus, a hybrid of centralized and decentralized approach that exploits the benefits of both is also considered.</p>http://jwcn.eurasipjournals.com/content/2008/598080 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Burgkhardt Dennis Jondral FriedrichK Cosovic Ivan Yamada Takefumi |
spellingShingle |
Burgkhardt Dennis Jondral FriedrichK Cosovic Ivan Yamada Takefumi Resource Distribution Approaches in Spectrum Sharing Systems EURASIP Journal on Wireless Communications and Networking |
author_facet |
Burgkhardt Dennis Jondral FriedrichK Cosovic Ivan Yamada Takefumi |
author_sort |
Burgkhardt Dennis |
title |
Resource Distribution Approaches in Spectrum Sharing Systems |
title_short |
Resource Distribution Approaches in Spectrum Sharing Systems |
title_full |
Resource Distribution Approaches in Spectrum Sharing Systems |
title_fullStr |
Resource Distribution Approaches in Spectrum Sharing Systems |
title_full_unstemmed |
Resource Distribution Approaches in Spectrum Sharing Systems |
title_sort |
resource distribution approaches in spectrum sharing systems |
publisher |
SpringerOpen |
series |
EURASIP Journal on Wireless Communications and Networking |
issn |
1687-1472 1687-1499 |
publishDate |
2008-01-01 |
description |
<p/> <p>It is increasingly difficult to satisfy growing demands for spectrum with the conventional policy of fixed spectrum allocation. To overcome this problem, flexible/dynamic spectrum sharing methods that can significantly improve spectrum utilization of the spectrum have gained increasing interest recently. This paper presents two dynamic spectrum sharing approaches, a centralized and a decentralized one. The centralized approach is based on hierarchical trading. Each level of hierarchy is composed of "markets" that are associated with a certain spatial area and trading occurrence frequency, whereas area size and trading occurrence frequency depend on the hierarchy level. The decentralized approach is based on game-theory. There, it is assumed that the operators are averse to unequal payoffs and act unselfishly, enabling a stable and sustainable community. Numerical results show that, in the observed scenario, both proposals outperform the reference case of fixed resource allocation significantly in terms of utilized bandwidth. Whereas, negotiation costs for spectrum brokerage appear in the centralized approach, nonnegligible amounts of spectrum are lost in the decentralized approach due to collisions. Thus, a hybrid of centralized and decentralized approach that exploits the benefits of both is also considered.</p> |
url |
http://jwcn.eurasipjournals.com/content/2008/598080 |
work_keys_str_mv |
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1724851665101651968 |