On indoor millimeter wave massive MIMO channels: Measurement and simulation
The millimeter wave (mmWave) communications and massive multiple-input multiple-output
(MIMO) are both widely considered to be the candidate technologies for the fifth generation …
(MIMO) are both widely considered to be the candidate technologies for the fifth generation …
Multi-user precoding and channel estimation for hybrid millimeter wave systems
In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave
(mmWave) systems, where the number of radio frequency (RF) chains is much less than the …
(mmWave) systems, where the number of radio frequency (RF) chains is much less than the …
Low-rank tensor decomposition-aided channel estimation for millimeter wave MIMO-OFDM systems
We consider the problem of downlink channel estimation for millimeter wave (mmWave)
MIMO-OFDM systems, where both the base station (BS) and the mobile station (MS) employ …
MIMO-OFDM systems, where both the base station (BS) and the mobile station (MS) employ …
Capacity analysis of NOMA with mmWave massive MIMO systems
Non-orthogonal multiple access (NOMA), millimeter wave (mmWave), and massive multiple-
input-multiple-output (MIMO) have been emerging as key technologies for fifth generation …
input-multiple-output (MIMO) have been emerging as key technologies for fifth generation …
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 …
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 …
Hardware efficient detection for massive MIMO uplink with parallel Gauss-Seidel method
In this paper, a novel, low-complexity, and hardware efficient signal detection algorithm and
its corresponding VLSI architecture are proposed for massive multiple-input multiple-output …
its corresponding VLSI architecture are proposed for massive multiple-input multiple-output …