scholarly journals Approximation Algorithm Based Channel Estimation for Massive MIMO Antenna Array Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 149364-149372
Author(s):  
Hao Jiang ◽  
Denghong Tang ◽  
Jie Zhou ◽  
Xiaoli Xi ◽  
Jiao Feng ◽  
...  
Keyword(s):  
Channel Estimation ◽  
Approximation Algorithm ◽  
Antenna Array ◽  
Massive Mimo ◽  
Mimo Antenna

scholarly journals Design Simulation and Performance Assessment of Improved Channel Estimation for Millimeter Wave Massive MIMO Systems

2021 ◽  
Vol 9 (5) ◽  
pp. 56-61
Author(s):  
Aditi Sharma ◽  
Ashish Kumar Sharma ◽  
Laxmi Narayan Balai
Keyword(s):  
Channel Estimation ◽  
Antenna Array ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Structural Characteristics ◽  
Base Station ◽  
Accurate Information ◽  
Lens Antenna ◽  
Beam Selection ◽  
Estimation Scheme

In this paper, we have optimize specificities with the use of massive MIMO in 5 G systems. Massive MIMO uses a large number, low cost and low power antennas at the base stations. These antennas provide benefit such as improved spectrum performance, which allows the base station to serve more users, reduced latency due to reduced fading power consumption and much more. By employing the lens antenna array, beam space MIMO can utilize beam selection to reduce the number of required RF chains in mm Wave massive MIMO systems without obvious performance loss. However, to achieve the capacity-approaching performance, beam selection requires the accurate information of beam space channel of large size, which is challenging, especially when the number of RF chains is limited. To solve this problem, in this paper we propose a reliable support detection (SD)-based channel estimation scheme. In this work we first design an adaptive selecting network for mm-wave massive MIMO systems with lens antenna array, and based on this network, we further formulate the beam space channel estimation problem as a sparse signal recovery problem. Then, by fully utilizing the structural characteristics of the mm-wave beam space channel, we propose a support detection (SD)-based channel estimation scheme with reliable performance and low pilot overhead. Finally, the performance and complexity analyses are provided to prove that the proposed SD-based channel estimation scheme can estimate the support of sparse beam space channel with comparable or higher accuracy than conventional schemes. Simulation results verify that the proposed SD-based channel estimation scheme outperforms conventional schemes and enjoys satisfying accuracy even in the low SNR region as the structural characteristics of beam space channel can be exploited.

scholarly journals Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array

2017 ◽  
Vol 16 (9) ◽  
pp. 6010-6021 ◽  
Author(s):  
Xinyu Gao ◽  
Linglong Dai ◽  
Shuangfeng Han ◽  
Chih-Lin I ◽  
Xiaodong Wang
Keyword(s):  
Channel Estimation ◽  
Antenna Array ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Lens Antenna

Sparse Channel Estimation for Millimeter Wave Massive MIMO Systems With Lens Antenna Array

2019 ◽  
Vol 68 (11) ◽  
pp. 11348-11352 ◽  
Author(s):  
Xiantao Cheng ◽  
Ying Yang ◽  
Binyang Xia ◽  
Ning Wei ◽  
Shaoqian Li
Keyword(s):  
Channel Estimation ◽  
Antenna Array ◽  
Millimeter Wave ◽  
Massive Mimo ◽  
Mimo Systems ◽  
Lens Antenna ◽  
Sparse Channel Estimation ◽  
Sparse Channel
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