TY - GEN
T1 - Generalized location-based resource allocation for OFDMA cognitive radio systems
AU - Ben Ghorbel, Mahdi
AU - Nam, Haewoon
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2010/9
Y1 - 2010/9
N2 - Cognitive radio is one of the hot topics for emerging and future wireless communication. Cognitive users can share channels with primary users under the condition of non interference. In order to compute this interference, the cognitive system usually use the channel state information of the primary user which is often impractical to obtain. However, using location information, we can estimate this interference by pathloss computation. In this paper, we introduce a low-complexity resource allocation algorithm for orthogonal frequency division multiple access (OFDMA) based cognitive radio systems, which uses relative location information between primary and secondary users to estimate the interference. This algorithm considers interference with multiple primary users having different thresholds. The simulation results show the efficiency of the proposed algorithm by comparing it with an optimal exhaustive search method. © 2010 IEEE.
AB - Cognitive radio is one of the hot topics for emerging and future wireless communication. Cognitive users can share channels with primary users under the condition of non interference. In order to compute this interference, the cognitive system usually use the channel state information of the primary user which is often impractical to obtain. However, using location information, we can estimate this interference by pathloss computation. In this paper, we introduce a low-complexity resource allocation algorithm for orthogonal frequency division multiple access (OFDMA) based cognitive radio systems, which uses relative location information between primary and secondary users to estimate the interference. This algorithm considers interference with multiple primary users having different thresholds. The simulation results show the efficiency of the proposed algorithm by comparing it with an optimal exhaustive search method. © 2010 IEEE.
UR - http://hdl.handle.net/10754/564295
UR - http://ieeexplore.ieee.org/document/5624549/
UR - http://www.scopus.com/inward/record.url?scp=78650110694&partnerID=8YFLogxK
U2 - 10.1109/ISWCS.2010.5624549
DO - 10.1109/ISWCS.2010.5624549
M3 - Conference contribution
SN - 9781424463169
SP - 1011
EP - 1016
BT - 2010 7th International Symposium on Wireless Communication Systems
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -