Pham, Thuy M. and Farrell, Ronan and Tran, Le-Nam (2019) On Estimating Maximum Sum Rate of MIMO Systems with Successive Zero-Forcing Dirty Paper Coding and Per-antenna Power Constraint. In: 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). IEEE. ISBN 9781538681107

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Abstract

In this paper, we study the sum rate maximization for a multiple-input multiple-output (MIMO) system with successive zero-forcing dirty-paper coding (SZFDPC) and per-antenna power constraint (PAPC). Although SZFDPC is a low-complexity alternative to the optimal dirty paper coding, efficient algorithms to compute its sum rate are still open problems especially under practical PAPC. The existing solution to the considered problem is computationally inefficient due to employing high-complexity interior-point method. In this study, we propose two novel low-complexity approaches to this important problem. More specifically, the first algorithm achieves the optimal solution by transforming the original problem in the broadcast channel into an equivalent problem in the multiple access channel, then the resulting problem is solved by alternating optimization together with successive convex approximation. We also derive a suboptimal solution based on machine learning to which simple linear regressions are applicable. The approaches are analyzed and validated extensively to demonstrate their superiors over the existing approach.

Item Type:	Book Section
Additional Information:	Funding: This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077. This publication has also emanated from research supported in part by a Grant from Science Foundation Ireland under Grant number 17/CDA/4786. Cite as: T. M. Pham, R. Farrell and L. -N. Tran, "On Estimating Maximum Sum Rate of MIMO Systems with Successive Zero-Forcing Dirty Paper Coding and Per-antenna Power Constraint," 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Turkey, 2019, pp. 1-6, doi: 10.1109/PIMRC.2019.8904416.
Keywords:	MIMO; alternating optimization; successive; zero-forcing; dirty-paper; coding; regression; machine learning; per-antenna; power constraint; successive convex; approximation; Radiospace;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14202
Identification Number:	https://doi.org/10.1109/PIMRC.2019.8904416
Depositing User:	Ronan Farrell
Date Deposited:	18 Mar 2021 15:27
Publisher:	IEEE
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI), European Regional Development Fund
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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