Discrete rate resource allocation for OFDMA cognitive radio systems with location information
KAUST DepartmentElectrical Engineering Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Communication Theory Lab
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AbstractIn this paper we introduce a resource allocation algorithm based on location information for cognitive radio systems. The location information allows a practical implementation of cognitive radio systems when the channel state knowledge of the interference links with the primary users is not available. Using this information and measurements, the secondary users estimate the pathloss between the secondary and primary users to avoid interfering the primary users while sharing the frequency bands. The major improvement in this paper is low-complex algorithms for downlink and uplink resource allocations with integer bit distributions, where collocated subchannel constraint is considered in uplink case. We show, through numerical simulations, that for the downlink case, the proposed algorithm is indeed optimal while for the uplink case, it is near-optimal. ©2010 IEEE.
Journal2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops
Conference/Event name2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops, PIMRC 2010