access icon free Sparsity-based MIMO interference suppression technique in the presence of imperfect channel state information

In this study, sparsity-based precoding schemes have been suggested to suppress the interference and improve the energy efficiency of a massive multiple-input multiple-output (MIMO) system when imperfect channel state information is available. To this goal, the sparsity and joint sparsity properties have been imposed on the precoding matrix for the purpose of boosting the energy efficiency or antenna selection. Moreover, the authors have assumed that only a few of the user's channel vectors have been erroneously estimated in the transmitter side. Hence, the channel estimation error matrix has been modelled as a joint sparse matrix. Adding the maximum transmission power constraint, the authors estimate the precoding matrix through solving a convex optimisation problem. Various simulation scenarios have been conducted, which confirm that the proposed precoding schemes improve the energy efficiency in the massive MIMO system.

Inspec keywords: precoding; convex programming; interference suppression; MIMO communication; wireless channels; channel estimation; optimisation

Other keywords: user; sparsity-based MIMO interference suppression technique; imperfect channel state information; joint sparsity properties; joint sparse matrix; energy efficiency; sparsity-based precoding schemes; precoding matrix; massive MIMO system; channel estimation error matrix; massive multiple-input multiple-output system

Subjects: Other topics in statistics; Radio links and equipment; Codes; Electromagnetic compatibility and interference; Communication channel equalisation and identification

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