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For simplicity of analyzing, we assume the user cluster contains two users like [7] and [17].
Instead, we can maximize the sum-rate of a user cluster individually.
In this algorithm, an exhaustive search algorithm is first used to find the optimal user cluster at each RB.
In addition, we also propose the user selection algorithms to determine the users sharing a beam in one user cluster.
The set of cognitive user cluster that has resource R i is S R i i, where S R i i ⊂ S, R i ∈{R1,R2,…,R n }.
The BS simultaneously transmits K beams to provide multiuser downlink transmission, and each beam serves one user cluster, which includes two or more users to perform NOMA.
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First, we investigate IA and multiplex schemes in user clustering.
The IA and multiplex schemes using user clustering outperform the orthogonal scheme, which does not use user clustering.
The simulation results show that the IA and multiplex schemes acquiring user clustering gains outperform the orthogonal scheme without user clustering.
The simulation results first show that the IA and multiplex schemes acquiring user clustering gains outperform the orthogonal scheme without employing user clustering.
How to select these 2K users in K user clusters is illustrated later.
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