An Improved Dropping Algorithm for Line-of-Sight Massive MIMO With Max-Min Power Control
| Autor: | Ulf Gustavsson, Frans M. J. Willems, Amirashkan Farsaei, Alex Alvarado |
|---|---|
| Přispěvatelé: | Information and Communication Theory Lab, Signal Processing Systems, Center for Wireless Technology Eindhoven |
| Rok vydání: | 2019 |
| Předmět: |
Beamforming
line-of-sight MIMO zero-forcing 020206 networking & telecommunications 02 engineering and technology Interference (wave propagation) Precoding Computer Science Applications Reduction (complexity) Base station Signal-to-noise ratio Modeling and Simulation massive MIMO 0202 electrical engineering electronic engineering information engineering Conjugate beamforming Electrical and Electronic Engineering Algorithm max-min power control Mathematics Power control |
| Zdroj: | IEEE Communications Letters IEEE Communications Letters, 23(6):8695106, 1109-1112. Institute of Electrical and Electronics Engineers |
| ISSN: | 2373-7891 1089-7798 |
| Popis: | In line-of-sight massive MIMO, there is a nonnegligible probability that two users become highly correlated, which leads to a reduction in the achievable sum-rates of linear precoders. In this letter, threshold values of a previously proposed dropping algorithm are found analytically to avoid repeating a large number of simulations to find the optimal threshold. These thresholds allow us to improve conjugate beamforming (CB) and zero-forcing (ZF) sum-rates with max-min power control. By using the proposed threshold values, the CB and ZF sum-rates are maximized, when there are only two correlated users. In addition, by using the derived thresholds, a modified dropping algorithm is proposed for channels with any number of correlated users. The results of the simulation scenarios show that at signal to noise ratio of 20 dB and 120 antennas at the base station, the modified algorithm improves the average CB and ZF sum-rates up to 36% and 5%, respectively. |
| Databáze: | OpenAIRE |
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