For massive multiple-input multiple-output (MIMO) detection, minimum mean square error (MMSE) method can achieve close-to-optimal performance. However, its computational complexity is proportional to the third power of antenna elements due to the inevitable matrix inversion operation. Especially when the number of transmitting antennas is very large, exact MMSE detection method becomes disabled owing to the excessive complexity. In this paper, an adaptive damped Jacobi (DJ) method is proposed firstly to iteratively realize MMSE performance without the intractable matrix inversion. By automatically updating the optimal relaxation factor w with the increase of iterations, the adaptive scheme does not require careful selection of initial relaxation factor compared to the conventional fixed-w DJ method. Simulation results have shown that the proposed adaptive DJ is more applicable to the correlated MIMO channels for its great flexibility of relaxation factor ω. Additionally, the hardware architecture design is also presented in this paper.
Adaptive Damped Jacobi Detector and Architecture for Massive MIMO Uplink
Yaping Zhang,Anlan Yu,X. Tan,Zaichen Zhang,X. You,Chuan Zhang
Published 2018 in Asia Pacific Conference on Circuits and Systems
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- Publication year
2018
- Venue
Asia Pacific Conference on Circuits and Systems
- Publication date
2018-10-01
- Fields of study
Computer Science, Engineering
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