Open AccessAlternative direction for 3D orthogonal frequency division multiplexing massive MIMO FDD channel estimation and feedback
Author(s) -
Nasser Ahmed,
Elsabrouty Maha,
Muta Osamu
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0916
Subject(s) - computer science , mimo , channel (broadcasting) , base station , algorithm , telecommunications link , compressed sensing , exploit , channel state information , control theory (sociology) , wireless , telecommunications , artificial intelligence , computer security , control (management)
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.