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We propose an adaptive bit and power allocation technique for an orthogonal frequency division multiple access based cognitive radio network. The resources are allocated such that each secondary user attains equal data rate while ensuring the interference leakage to the primary users is below a specific threshold. Integer linear programming based optimal algorithm and a suboptimal method based on...
We propose an adaptive radio resource allocation algorithm for a multiple-input multiple-output (MIMO) orthogonal frequency division multiple access (OFDMA) based uplink cognitive radio network (CRN). The CRN has multiple secondary users (SUs) coexisting with multiple primary users (PUs). The aim is to admit as many SUs as possible in various subcarriers while ensuring no interference is leaked to...
We propose an adaptive radio resource allocation algorithm for cognitive radio underlay networks. The proposed algorithm optimally allocates power and the available subcarriers in an OFDMA environment while ensuring interference leaked to the primary users is below a specific value. We formulate the radio resource allocation problem for cognitive radio network into integer linear programming framework...
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