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Conference Paper: Decentralized fair resource allocation for relay-assisted cognitive cellular downlink systems

TitleDecentralized fair resource allocation for relay-assisted cognitive cellular downlink systems
Authors
Issue Date2009
Citation
IEEE International Conference on Communications, 2009 How to Cite?
AbstractIn this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/194405
ISSN

 

DC FieldValueLanguage
dc.contributor.authorWang, R-
dc.contributor.authorLau, VKN-
dc.contributor.authorYing, C-
dc.contributor.authorHuang, K-
dc.contributor.authorChen, B-
dc.contributor.authorYang, X-
dc.date.accessioned2014-01-30T03:32:33Z-
dc.date.available2014-01-30T03:32:33Z-
dc.date.issued2009-
dc.identifier.citationIEEE International Conference on Communications, 2009-
dc.identifier.issn0536-1486-
dc.identifier.urihttp://hdl.handle.net/10722/194405-
dc.description.abstractIn this paper, we consider a relay-assisted cognitive cellular downlink system dynamically accessing a spectrum licensed to a primary network, thereby improving the efficiency of spectrum usage. A cluster-based relay-assisted architecture is proposed, where relay stations are employed for minimizing the interference to users in the primary network and achieving fairness for cell-edge users. Based on this architecture, an optimal solution is derived for jointly controlling data rate, transmission power, and subband allocation to optimize the weighted sum goodput where proportional fair scheduling (PFS) is included as a special case. As shown by simulations, the proposed solution achieves significant throughput gains and better user fairness compared with existing designs. ©2009 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE International Conference on Communications-
dc.titleDecentralized fair resource allocation for relay-assisted cognitive cellular downlink systems-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICC.2009.5198883-
dc.identifier.scopuseid_2-s2.0-70449508030-

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