Power Allocation Based on Channel State Information in Massive MIMO System
Abstract
A system with large number of carriers doing the transmission in many sub-channels (OFDM) or multiple antennas (MIMO) sequentially the power was allocated. However, the information of the channel parameters is predictable, then successive power allocation for notable advancement in system productions can be attained. Broadcasting power allocation might upgrade system performance by means of comprehensive capacity increase or bit error rate reduced. Power Allocation (PA) for Heuristic Beamforming with Maximum Ratio Transmission and Zero-Forcing Beamforming method was used. The relay to earth transmission over1000K users with Signal to Noise ratio of 5 dB, and not correlated Rayleigh fading channels. Maximum ratio and Zero forcing these two linear methods of pre-coding can be taken. This MATLAB simulation differentiated the Spectral Efficiency (SE) acquired when having precise CSI with pilot sequences of length τp. The conclusions are based on movability of the user signals. Simulation results produces the balancing effect between PA and Spectral Efficiency, and neatly displayed the variation with existing work, and precisely displayed that comparatively greater transmit power will be a huge energy efficient level is reached.
- Publication:
-
Materials Science and Engineering Conference Series
- Pub Date:
- September 2020
- DOI:
- 10.1088/1757-899X/925/1/012002
- Bibcode:
- 2020MS&E..925a2002B