Hybrid dirty paper coding for massive multiuser MIMO system
Dadong Zhang, Jing Jiang · 2017
To provide gigabit-per-second data rates for the next generation (5G) of mobile cellular communication system, one option is to leverage that has gained increasing traction is communications over the millimeter-wave (mm-Wave) regime where the carrier frequency is in the 30 to 300 GHz range, so that the small wavelengths of millimeter wave is allowed to encapsulate the number of antennas in small physical space to form a larger aperture an antenna array and achieve the desired high gain of the link. This paper develops a dirty paper coding based multi-user hybrid beamforming for downlink millimeter wave (mm-Wave) massive MIMO systems. The hybrid beamforming is designed indirectly by considering the solution of digital beamforming which is obtained from the dirty paper coding(DPC) technique. We assume that the channel state information(CSI) at the transmitter is perfect, and further we consider the problem of maximizing the sum rate. DPC is a method of beamforming such that the interference which is known to the transmitter can be canceled efficiently, achieve the optimal performance of the sum rate and the capacity of the multiple antenna mm-Wave channel. Simulation results show the proposed algorithm provide good sum rate performance compared with the traditional digital beamforming and obviously improved the sum rate with the increase in the number of users. It is proved that multi-user MIMO (MU-MIMO) can be a perfect candidate for mm-Wave massive MIMO communication system.