NDLI: Iterative AP selection, MMSE precoding and power allocation in cell-free massive MIMO systems

Content Provider	IET Digital Library
Author	Palhares, Victoria M. T. Lamare, Rodrigo C. De Flores, André R. Landau, Lukas T. N.
Abstract	In this work, the authors proposed the iterative access point (AP) selection (APS), linear minimum mean-square error (MMSE) precoding and power allocation techniques for cell-free massive multiple-input multiple-output (MIMO) systems. They considered the downlink channel with single-antenna users and multiple-antenna APs. They derive sum-rate expressions for the proposed iterative APS techniques followed by MMSE precoding and optimal, adaptive, and uniform power allocation schemes. Simulations show that the proposed approach outperforms existing conjugate beamforming and zero-forcing schemes and that performance remains excellent with APS, in the presence of perfect and imperfect channel state information.
Starting Page	3996
Ending Page	4006
Page Count	11
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 22, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/22
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2020.0627
Journal	IET Communications
Publisher Date	2021-01-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Signal Processing Cell-free Massive MIMO System Cell-free Massive Multiple-input Multiple-output System Code Conjugate Beamforming Interpolation And Function Approximation Iterative AP Selection Iterative APS Technique Iterative Method Least Mean Squares Method Linear Minimum Mean-square Error Precoding MIMO Communication MMSE Precoding Multiple-antenna APs Numerical Analysis Precoding Radio Link And Equipment Signal Processing And Detection Uniform Power Allocation Scheme
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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