A low complexity data detection algorithm for uplink multiuser massive MIMO systems
JC Chen - IEEE Journal on Selected Areas in Communications, 2017 - ieeexplore.ieee.org
A major challenge for uplink multiuser massive multiple-input and multiple-output (MIMO)
systems is the data detection problem at the receiver due to the substantial increase in the …
systems is the data detection problem at the receiver due to the substantial increase in the …
A 1.58 Gbps/W 0.40 Gbps/mm2 ASIC Implementation of MMSE Detection for -QAM Massive MIMO in 65 nm CMOS
The minimum-mean-square error (MMSE) plays a significant role in the signal detection
process of massive multiple-input-multiple-output (MIMO) systems. Matrix inversion, which is …
process of massive multiple-input-multiple-output (MIMO) systems. Matrix inversion, which is …
A low complexity soft-output data detection scheme based on Jacobi method for massive MIMO uplink transmission
In massive multiple-input multiple-output (MIMO) systems, linear minimum mean-square
error (MMSE) detection can achieve near-optimal performance. However, it suffers from high …
error (MMSE) detection can achieve near-optimal performance. However, it suffers from high …
Decision‐aided Jacobi iteration for signal detection in massive MIMO systems
Y Lee - Electronics Letters, 2017 - Wiley Online Library
Massive MIMO with high spectral efficiency is one of the key technologies for future 5G
wireless communications. For signal detection in such systems, a decision‐aided Jacobi …
wireless communications. For signal detection in such systems, a decision‐aided Jacobi …
Low‐complexity massive MIMO detectors based on Richardson method
B Kang, JH Yoon, J Park - Etri Journal, 2017 - Wiley Online Library
In the uplink transmission of massive (or large‐scale) multi‐input multi‐output (MIMO)
systems, large dimensional signal detection and its hardware design are challenging issues …
systems, large dimensional signal detection and its hardware design are challenging issues …
Low-computing-load, high-parallelism detection method based on Chebyshev iteration for massive MIMO systems with VLSI architecture
Minimum-mean-square-error (MMSE) detection is becoming increasingly relevant in signal
detection for massive multiple-input-multiple-output systems because of the increasing …
detection for massive multiple-input-multiple-output systems because of the increasing …
Low-complexity MMSE detector for massive MIMO systems based on Damped Jacobi method
J Minango, C de Almeida… - 2017 IEEE 28th Annual …, 2017 - ieeexplore.ieee.org
Minimum mean square error (MMSE) linear detector is able to achieve the near-optimal bit
error rate (BER) performance for uplink multi-user massive Multiple-Input Multiple-Output …
error rate (BER) performance for uplink multi-user massive Multiple-Input Multiple-Output …
Approximate iteration detection with iterative refinement in massive MIMO systems
To improve energy efficiency and spectral efficiency, massive multiple‐input–multiple‐output
(MIMO) is proposed and becomes a promising technology in the next generation mobile …
(MIMO) is proposed and becomes a promising technology in the next generation mobile …
Error recovery based low-complexity detection for uplink massive MIMO systems
In this letter, we introduce a new approach based on error recovery for detection in uplink
massive multiple-input multiple-output (MIMO) systems. In the proposed work, first, the non …
massive multiple-input multiple-output (MIMO) systems. In the proposed work, first, the non …
Low‐complexity MMSE‐IRC algorithm for uplink massive MIMO systems
B Ren, Y Wang, S Sun, Y Zhang, X Dai… - Electronics Letters, 2017 - Wiley Online Library
In uplink massive multiple‐input multiple‐output (MIMO) systems, the conventional minimum
mean square error‐interference rejection combining (MMSE‐IRC) signal detection algorithm …
mean square error‐interference rejection combining (MMSE‐IRC) signal detection algorithm …