Efficient resource allocation algorithm for cognitive OFDM systems

Authors:
Shaowei Wang
Affiliations:
School of Electronic Science & Engineering, Nanjing University, Nanjing, China and National Key Laboratory for Novel Software Technology, Nanjing University
Venue:
IEEE Communications Letters
Year:
2010

Citing 5
Cited 2

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Multiuser OFDM with adaptive subcarrier, bit, and power allocation

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Cognitive radio: brain-empowered wireless communications

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An altruistic differentiated service protocol in dynamic cognitive radio networks against selfish behaviors

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Adaptive proportional fairness resource allocation for OFDM-based cognitive radio networks

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Abstract

In this letter the transmission power and interference threshold constraints for a cognitive OFDM system are converted to a normalized capacity of each OFDM subchannel. A simple but very efficient algorithm is proposed to allocate bits of all subchannels, which always picks the bit with the least cost. Simulation results show the proposed algorithm can obtain optimum solution in most cases. The remarkable characteristic of the algorithm is the computational complexity is very low and asymptotically constant for given radio scenarios, which meets the requirement of practical communication systems perfectly.