Abstract
In this paper, a novel power allocation algorithm to maximize the throughput under the bit error rate (BER) constraint and the total power constraint in cognitive radio is proposed. Although water filling (WF) algorithm is the optimal power allocation in theory, it ignores the fact that the allocated power in use is discrete, and the algorithm doesnt take the waste power into consideration. In the improved algorithm, the total power is asymmetrically quantized to apply to the practice and reduce the computation complexity before adopting the dynamic programming which is commonly used to solve the knapsack problem, so this improved algorithm is called as asymmetrically quantized dynamic programming (AQDP). Moreover, AQDP reused the residual power to maximize the throughput further. The simulation results show that AQDP algorithm has improved the transmit throughput of all CR users compared with the classical power allocation algorithms referred as WF algorithm in this paper.
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