Hybrid Pre-coding With Multi-user Mm Wave Massive MIMO

In the large field of cellular system,the antenna array is the important parameter playing a vital and major role.Natural function of antennas array transmits the signals simultaneously.Multi-user MIMO(MU-MIMO)can benefit multiple users such as spatially distributed transmission resources,the cost of processing the signal a bit more expensive.In comparison,conventional or single-user MIMO considers the local multiple dimensions of the antenna device.Multiuser MIMO algorithm developed to improve MIMO systems where the number of users or connections is more than one.Unfortunately,it is more likely harder to transmit multi users at a certain time on a single path for the reason that of having large interference that originates base station to mobile station.This present study is an idea of developing low-complexity hybrid analog to digital pre-coding for the downlink multi-user system.Hybrid pre-coding is a combination of analog and digital processing and that is inspire by power consumption of complete radio frequency mixed signal hardware.This proposed algorithm is an implementation on hybrid pre-coders at both regions of mm Wave system,pre-coders configure at transmitter region and the combiners configure at the multiple of receivers along with feedback overhead.The performance of this proposed algorithm is consideration in sense of large dimensional managements as well as in single path channels.The combiners(Analog and Digital pre-coder)selected from the quantized beam forming and beam steering codebooks.Analytical and simulation result shows the proposed algorithm techniques offer higher sum rates as compared with analog beamforming only as the interference at downlink is forwarding to decrease when the multi users transmit over the single path.Hybrid pre-coding algorithm gave better performance than analog beam forming only.The rate loss showed the performance of hybrid pre-coding.This proposed algorithm demonstrated the performance in simulation with the help of hybrid pre-coding and beam forming codebook.The performance bounds are proposed algorithm,evaluated by simulations,and compared with both analog only beamforming solutions and systems pre-coding without numerical constraints.The results indicated,with a relatively training overhead and feedback training.The proposed hybrid algorithm achieved good performance.