Joint Optimization Scheme Based on Beam Selection and Interference Cancellation in Lens Millimeter W

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Non-orthogonal multiple access(NOMA)has been integrated in millimeter-wave(mmWave)Massive MIMO systems to further enhance the spec-trum efficiency,but NOMA has not been fully consid-ered in lens mmWave systems.The fusion of these two technologies requires the joint design of beam selec-tion and interference cancellation.In addition,when users follow the spatial cluster distribution,although the user clustering schemes based on K-means algo-rithm have been applied,the influence of the virtual and actual cluster center users on achievable sum rate has not been differentiated and analyzed in detail.To solve the above problems,a joint optimization scheme is proposed to maximize the achievable sum rate.The optimization problem is NP-hard,which is solved by using the divide-and-conquer approach.Concretely,based on the signal power loss analysis of directional deviation,a beam selection algorithm is designed for inter-cluster interference cancellation based on the K-means algorithm.Further for intra-cluster interference cancellation,a power allocation algorithm based on the bisection method is designed to guarantee the fair-ness of users in each cluster.The simulation results show that the proposed scheme offers a significant per-formance improvement in terms of both achievable sum rate and energy efficiency,and it is suitable for the large-scale user scenario due to its low complex-ity.
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