An improved Adaptive BeamForming Algorithm for 5G Interference-coexistence communication

Abstract

Coexistence of multiple wireless systems in a 5G network can cause interference in the same frequency band and deteriorate the performance of the received signal. In this paper, a novel algorithm is proposed in antenna array processing to handle interference-coexistence communication. We adopt a linear filter which is called Linearly Constrained Minimum Variance (LCMV) filter. On the basis of traditional singly linearly constrained least mean square (LC-LMS), we introduce a log-sum penalty on the coefficients and add it into the cost function. We derive the iterative formula of filter weights. By simulations in antenna environment with signal of interest, noise and interferences, we prove that the convergence rate of the new method is faster than traditional one. Moreover, the mean-square-error(MSE) of the proposed method is also verified. Experiment results demonstrate that our method has lower MSE than the traditional LC-LMS algorithm. The proposed adaptive beamforming scheme can be applied in 5G system to deal with the coexistence of signals and interferences.