USING HIERARCHICAL CODEBOOK AT THE RECEIVER TO IMPROVE THE CHANNEL CAPACITY IN MM WAVE COMMUNICATION

Abstract

Mm-wave is currently of interest due to its ability to enhance large bandwidth, which can fully meet the speed of 5G information systems. The beamforming techniques are studied for this wave such as beam weights updating at the receiver to ensure the fastest convergence rate of the weighting algorithm. We need to specify algorithms such as mean least squares (LMS), recursive least squares (RLS), sampling matrix inverse (SMI), conjugate gradient methods (CGM). There are many articles related to the comparison of these algorithms on convergence weighting speed, transmission capacity. However, finding a matrix of receive beams in a multi-path environment is a problem of little interest. Using the hierarchical codebook (HC) is applied to produce suitable gain-weight vectors and requires fewer iterative steps to find beam weights. In addition, compared with the traditional methods mentioned above, such as LMS, RLS, SMI, or CGM, the method of finding beam weights using HC also ensures the increased channel capacity, especially with the high signal-to-noise ratios.

Mm wave communication, beamforming, LMS, RLS, SMI, CGM algorithms, HC, channel capacity.