|
|
| |
| Performance Evaluation of Optimal Planning Linear Pre-coding in Terms of Energy Efficiency Massive MU-MIMO 5G Systems
Download PDF
|
Mamadou Aliou SOW, Dioba Sacko, Hassana Ganame, Drissa Kamissoko
|
Abstract:
Massive MIMO where BS equipped so with hundreds antennas is then one of promising technologies of 5G networks for meeting the future requirements of wireless new generation. Mobile broadband cellular systems are so increasingly being evolved for meeting these demands of throughput also coverage improvement as well link reliability. Nowadays, tremendous sophisticated terminals are coming to market requesting high capacity with QoS but such demand is not able to be satisfied so due to limiting spectrum scarcity of networks wireless and also cannot reach high energy efficient. Massive MU-MIMO can be proposed to circumvent this shortcoming, in which the beams can be directed more selectively to user terminals, and it can serve simultaneously a much number of so autonomous terminals with high amount data rates. In other word, massive MIMO offers high EE energy-efficiency using simple schemes. For this paper, in order then to capture these promising gains expected from the 5G networks, we propose so two precoding schemes, i.e., simplest linear precoding MRT (maximal-ratio-transmission) and ZF (zero-forcing), to evaluate and compare energy efficiency regarding performance in massive MU-MIMO assuming at BS imperfection channel state information. We take account power circuit consumption and transmit power. Numerical results showed ZF precoding achieves higher EE compare to MRT precoding method, but only at small ratio M/K (M is BS antennas number while K represents user's one) scenario MRT outperforms ZF precoding.
|
|
|
| | |