Alternative direction for 3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation and feedback

In this study, downlink channel estimation of three-dimensional massive multiple-input multiple-output (3D-MIMO) system operating in the frequency division duplexing (FDD) mode is considered. Inspired by the channel sparsity property, this study proposes a compressive sensing algorithm to exploit th...

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Bibliographic Details
Published in:IET communications Vol. 12; no. 11; pp. 1380 - 1388
Main Authors: Nasser, Ahmed, Elsabrouty, Maha, Muta, Osamu
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 17.07.2018
Subjects:
3D massive MIMO channel
3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation
3D‐MIMO system
alternative direction of multiplier technique
angle–time domain
channel estimation
channel sparsity property
channel sparsity structure
common sparsity basis
complexity analysis
compressed sensing
compressive sensing algorithm
conventional estimation
convergence
convergence analysis
downlink channel estimation
FDD protocol
feedback
frequency division duplexing mode
frequency division multiplexing
joint channel estimation techniques
low complexity feedback AMP‐ADM‐T scheme
message passing
MIMO communication
multiple approximate message passing algorithm
multiplier technique
M‐AMP algorithm
OFDM modulation
Research Article
three‐dimensional massive multiple‐input multiple‐output system
transmitting base station
user channels
user equipment
wireless channels
compressed sensing
convergence
user equipment
conventional estimation
complexity analysis
multiple approximate message passing algorithm
compressive sensing algorithm
feedback
multiplier technique
BS
3D massive MIMO channel
user channels
frequency division duplexing mode
three-dimensional massive multiple-input multiple-output system
OFDM modulation
wireless channels
3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation
alternative direction of multiplier technique
3D-MIMO system
MIMO communication
FDD protocol
message passing
low complexity feedback AMP-ADM-T scheme
common sparsity basis
channel sparsity structure
angle–time domain
channel estimation
convergence analysis
M-AMP algorithm
frequency division multiplexing
joint channel estimation techniques
channel sparsity property
downlink channel estimation
transmitting base station
ISSN:1751-8628, 1751-8636
Online Access:Get full text
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Summary:In this study, downlink channel estimation of three-dimensional massive multiple-input multiple-output (3D-MIMO) system operating in the frequency division duplexing (FDD) mode is considered. Inspired by the channel sparsity property, this study proposes a compressive sensing algorithm to exploit the channel sparsity structure in the angle–time domain. The proposed algorithm, named AMP-ADM, combines the multiple approximate message passing (M-AMP) algorithm with the alternative direction of multiplier (ADM) technique to efficiently exploit the sparsity structure of the 3D massive MIMO channel. First, the proposed AMP-ADM is implemented in the case of the conventional estimation for the FDD protocol where the channel is estimated individually at each user equipment. Then, building on this algorithm, a low complexity feedback AMP-ADM-T scheme at the transmitting base station (BS) side is proposed. In the proposed feedback AMP-ADM-T technique the users' channels are jointly estimated at the BS to fully exploit the common sparsity basis. Complexity and convergence analyses are provided for both the AMP-ADM and feedback AMP-ADM-T algorithms. Simulation results prove the improved performance of the proposed feedback AMP-ADM-T algorithm compared to different state-of-the-art joint channel estimation techniques.
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2017.0916