Subcarrier and power allocation in OFDM-based cognitive radio networks

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We formulate the subcarrier and power allocation problem in cognitive radio networks employing orthogonal frequency division multiplexing (OFDM) as a non-linear optimization problem with the objective of maximizing sum capacity under constraints of available subcarriers, interference temper- ature, power budget, etc. A close-to-optimal solution with much reduced complexity is proposed to separate the problem into two steps, which also considers fairness among secondary users. A fair al- gorithm for subcarrier allocation (FA_SA) is firstly presented. Secondly, a fast iterative water-filling algorithm for power allocation (FIWFA_PA) is also proposed to maximize the sum capacity. Exten- sive simulation results show that sum capacity performance of our low-complexity solution is very close to the optimal one, while significantly improving fairness and reducing computation complexity compared with the existing solutions.
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