Efficient Resource Allocation Paradigm for MIMO Industrial Cognitive Networks

Cognitive radio (CR) is known of its intelligence that made it a solution for the Long Term Evolution in the shared sub-6 GHz band, so-called unlicensed-LTE. Such role has been supported by a temporal access technology that can manage the interference at other networks while providing qualitative services for the CR network. The multiple input multiple output (MEMO) technology brings better benefits to the CR network regarding the interference management especially in the industrial communications context. In this paper, we propose an efficient resource allocation paradigm for non-convex problems for which the optimal solution is an exhaustive search. Our proposal can enhance the spectral and computational efficiencies of the MIMO broadcasting CR systems that serve industrial applications. We propose a convex transformation and efficient algorithm to solve the power assignment task with high convergence speed. The numerical results demonstrate outstanding performance in sake of our proposal compared to the state-of-the-art.