Abstract
According to the issue that user bandwidth limitations is always ignored within the resources allocation algorithm of OFDM downlink, a multiuser OFDM adaptive resource allocation algorithm based on AFSA under the condition of limited users bandwidth is proposed in this paper. Under the condition of user bandwidth limitations, the maximum gain of channels is obtained and the bandwidth of each user is optimized by seeking optimal behaviors of AFSA, iteration and convergence. As a result, the resources for OFDM downlink link can be allocated more efficiently. The results of simulation experiments show that the proposed resource allocation strategy based on swarm intelligence, compared with similar algorithms, can carry out the global optimal convergence. Simultaneously, better system performance can be achieved in the given three different cases.
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