Massive multiple input multiple output (MIMO) has emerged as a promising technology, which utilizes a large number of antennas at base stations (BSs) to significantly improve the spectral efficiency in terms of bits/s/Hz while reducing the radiated signal power. A critical issue with massive MIMO is the costly circuit power consumption, which is proportional to the number of antennas. This paper develops low-complexity power allocation techniques to apply beamforming and to maximize the energy efficiency of massive MIMO while meeting users' quality-of-service requirements. Algorithms of low computational complexity with rapid convergence are proposed to solve for the optimal beamformer in this sense. Numerical examples are provided to show the merit of the proposed computational approach.
|Title of host publication||IEEE Digital Signal Processing Conference (DSP'17): Proceedings|
|Place of Publication||London, UK|
|Number of pages||5|
|Publication status||Published - 07 Nov 2017|
|Name||International Conference on Digital Signal Processing (DSP): Proceedings|
Duong, Q. (2017). Beamforming and power allocation for energy-efficient massive MIMO. In IEEE Digital Signal Processing Conference (DSP'17): Proceedings (International Conference on Digital Signal Processing (DSP): Proceedings). IEEE . https://doi.org/10.1109/ICDSP.2017.8096127