A user pairing method is proposed to improve the throughput and users' fairness performance in virtual multiple input multiple output (VMIMO) in 3rd Generation (3G) long-term evolution (LTE). This approach is based on post-processing signal to interference plus noise ratio (SINR) of each user, and takes both large scale and small scale fading into account, which renders more spatial multi-user diversity than that of the traditional paring criterions. To simplify the method, a parameter D is constructed from each user's raw SNR and channel matrix H. As shown in the simulation results, the average system transmission rate obtained by the proposed simplified SINR-based pairing scheduling (SSINR_PS) is obviously larger than that of traditional strategies such as random pairing scheduling (RPS), determinant pairing scheduling (DPS) and SINR-based pairing scheduling as the optimal one. Meanwhile, the fairness of the paired users is improved significantly.
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