Title
Low-Complexity Precoding for Sum Rate Maximization in Downlink Massive MIMO Systems
Abstract
We propose a precoding scheme to improve the downlink sum rate for a multicell massive multiple-input multiple-output (MIMO) system. We first present a low-complexity approach based on dirty paper coding and zero-forcing that combines a reduced form of QR decomposition and an orthogonal projection. We formulate a downlink sum rate optimization problem that takes both intracell and intercell interference into account, and then we use the convex conjugate to transform the problem into an unconstrained dual problem to find an optimal solution by applying a quasi-Newton algorithm with low complexity per iteration. We prove that the proposed algorithm exhibits faster convergence than other methods, and the numerical results verify that the proposed precoding design outperforms conventional precoding methods in multicell massive MIMO systems.
Year
DOI
Venue
2017
10.1109/LWC.2017.2651069
IEEE Wireless Commun. Letters
Keywords
Field
DocType
Precoding,MIMO,Downlink,Complexity theory,Interference,Antennas,Optimization
Dirty paper coding,Mathematical optimization,3G MIMO,Multi-user MIMO,MIMO,Zero-forcing precoding,Optimization problem,Mathematics,QR decomposition,Precoding
Journal
Volume
Issue
ISSN
6
2
2162-2337
Citations 
PageRank 
References 
2
0.37
10
Authors
3
Name
Order
Citations
PageRank
Hieu V. Nguyen125417.89
Van-Dinh Nguyen217923.75
Oh-Soon Shin362063.13