Abstract
This paper proposes two energy-aware algorithms exploited for optimal resources administration and maximum energy conservation of secondary communication nodes in a centralized cognitive radio network architecture. The proposed algorithms optimally enable efficient TV White Spaces exploitation, through a radio spectrum broker that administrates the resources trading process, based on real-time secondary spectrum market policy. In addition, both algorithms adopt a joint path lifetime and utility maximization scheme, which encompasses a capacity-aware policy for achieving minimum energy consumption and reliability during the resource sharing process. Validity of both algorithms is verified through several sets of extended experimental/simulation tests, carried out under controlled conditions.
Original language | English |
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Title of host publication | 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 |
Pages | 175-179 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2013 |
Event | 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 - Berlin, Germany Duration: 25 Sept 2013 → 27 Sept 2013 |
Other
Other | 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2013 |
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Country/Territory | Germany |
City | Berlin |
Period | 25/09/13 → 27/09/13 |
Keywords
- Cognitive radio networks
- Energy-efficient algorithms
- Radio resource management
- TV white spaces