Algorithms for Zero-forcing Beamforming in Multiple Input Multiple Output 5G Systems

Abstract

Zero-forcing beamforming is a method of spatial signal processing via which multiple antennascan null multiuser interference signals in wireless communications. In general, a signal processing technique which is used in sensor arrays for directional signal transmission or reception isknown as beamforming or spatial filtering. In order to achieve spatial selectivity, beamforming canbe used at both the transmitting and receiving ends. Compared with omnidirectional reception/-transmission, beamforming introduces the directivity of the array.Multiple Input Multiple Output (MIMO) is a technique for multiplying the power of radio link usingmultiple transmitting and receiving antennas to take full advantage of communications channeland multipath propagation.5G introduces a new era of communications networks, where MIMO is necessary to establisha good network performance and extended coverage. Zero-forcing beamforming can be onesolution to reduce the short comings of long-term beamforming where interference considerationis not available. On basis of which different approaches are considered, the target of this thesis isto elaborate those algorithm in terms of throughput versus SNR.Although several MATLAB codes are available on MIMO beamforming, they do not extensivelycover the zero-forcing approach and its all variants. Thus, the objective of this thesis is to studydifferent implementations of the zero-forcing method and to provide comparative numerical resultsbetween the considered approache.