Title :
Resource allocation in OFDMA underlay cognitive radio systems based on Ant Colony Optimization
Author :
Andreotti, R. ; Stupia, I. ; Giannetti, F. ; Lottici, V. ; Vandendorpe, L.
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
Abstract :
This paper deals with dynamic resource allocation problem for OFDMA-based cognitive radio systems. The proposed solution is specifically tailored for a secondary base stations (SBS) transmitting to secondary users (SUs) over the same bands of the licensed primary users (PUs) in underlay fashion. The downlink transmission goodput is thereby maximized while keeping the interference on the PUs within a tolerable range. The NP-hard goodput maximization problem is tackled resorting to an efficient meta-heuristic algorithm based on Ant Colony Optimization (ACO) framework.
Keywords :
OFDM modulation; cognitive radio; communication complexity; frequency division multiple access; interference; optimisation; radio links; resource allocation; NP-hard goodput maximization problem; OFDMA; ant colony optimization; downlink transmission goodput; dynamic resource allocation problem; interference; meta-heuristic algorithm; primary users; secondary base station; secondary users; underlay cognitive radio system; Cognitive radio; Complexity theory; Downlink; Interference; Optimization; Resource management; Scattering;
Conference_Titel :
Signal Processing Advances in Wireless Communications (SPAWC), 2010 IEEE Eleventh International Workshop on
Conference_Location :
Marrakech
Print_ISBN :
978-1-4244-6990-1
Electronic_ISBN :
1948-3244
DOI :
10.1109/SPAWC.2010.5671014
