Gradient-Based Solution for Hybrid Precoding in MIMO Systems

Negin Bakhshi Zanjani; Seyran Khademi; Geert Leus

doi:10.1109/ICASSP.2017.7952805

Gradient-Based Solution for Hybrid Precoding in MIMO Systems

Negin Bakhshi Zanjani^*, Seyran Khademi, Geert Leus

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

7 Citations (Scopus)

Abstract

The combination of baseband and analog precoding for multiple-input multiple-output (MIMO) systems is considered in this paper which is referred to as hybrid precoding. The system capacity, as a design criterion, is maximized subject to unit modulus constraints on the elements of the analog precoder (phase shifters), and a total power constraint. This is a non-convex problem due to the product of the analog and baseband precoder variables. The proposed technique suggests computing non-trivial complex derivatives of the objective and constraints, analytically, in order to develop an iterative gradient-based sequential optimization algorithm to solve the non-convex problem. Promising simulation results show that the solution of the proposed algorithm is sufficiently close to the optimal (full-baseband) precoder solution, regardless of the channel characteristics.

Original language	English
Title of host publication	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Subtitle of host publication	ICASSP 2017
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	3489-3493
Number of pages	5
ISBN (Electronic)	978-1-5090-4117-6
DOIs	https://doi.org/10.1109/ICASSP.2017.7952805
Publication status	Published - 2017
Event	ICASSP 2017: 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals - Hilton New Orleans Riverside, New Orleans, LA, United States Duration: 5 Mar 2017 → 9 Mar 2017 Conference number: 42 http://www.ieee-icassp2017.org/

Conference

Conference	ICASSP 2017
Abbreviated title	ICASSP
Country/Territory	United States
City	New Orleans, LA
Period	5/03/17 → 9/03/17
Internet address	http://www.ieee-icassp2017.org/

Keywords

hybrid precoding
multiple-input multiple-output (MIMO)
nonlinear optimization
sequential quadratic programming

Access to Document

10.1109/ICASSP.2017.7952805

Cite this

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title = "Gradient-Based Solution for Hybrid Precoding in MIMO Systems",

abstract = "The combination of baseband and analog precoding for multiple-input multiple-output (MIMO) systems is considered in this paper which is referred to as hybrid precoding. The system capacity, as a design criterion, is maximized subject to unit modulus constraints on the elements of the analog precoder (phase shifters), and a total power constraint. This is a non-convex problem due to the product of the analog and baseband precoder variables. The proposed technique suggests computing non-trivial complex derivatives of the objective and constraints, analytically, in order to develop an iterative gradient-based sequential optimization algorithm to solve the non-convex problem. Promising simulation results show that the solution of the proposed algorithm is sufficiently close to the optimal (full-baseband) precoder solution, regardless of the channel characteristics.",

keywords = "hybrid precoding, multiple-input multiple-output (MIMO), nonlinear optimization, sequential quadratic programming",

author = "Zanjani, \{Negin Bakhshi\} and Seyran Khademi and Geert Leus",

year = "2017",

doi = "10.1109/ICASSP.2017.7952805",

language = "English",

pages = "3489--3493",

booktitle = "2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings",

publisher = "IEEE",

address = "United States",

note = "ICASSP 2017 : 42nd IEEE International Conference on Acoustics, Speech and Signal Processing - The Internet of Signals, ICASSP ; Conference date: 05-03-2017 Through 09-03-2017",

url = "http://www.ieee-icassp2017.org/",

}

Gradient-Based Solution for Hybrid Precoding in MIMO Systems. / Zanjani, Negin Bakhshi; Khademi, Seyran ; Leus, Geert.
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings: ICASSP 2017. Piscataway, NJ: IEEE, 2017. p. 3489-3493 7952805.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Gradient-Based Solution for Hybrid Precoding in MIMO Systems

AU - Zanjani, Negin Bakhshi

AU - Khademi, Seyran

AU - Leus, Geert

N1 - Conference code: 42

PY - 2017

Y1 - 2017

N2 - The combination of baseband and analog precoding for multiple-input multiple-output (MIMO) systems is considered in this paper which is referred to as hybrid precoding. The system capacity, as a design criterion, is maximized subject to unit modulus constraints on the elements of the analog precoder (phase shifters), and a total power constraint. This is a non-convex problem due to the product of the analog and baseband precoder variables. The proposed technique suggests computing non-trivial complex derivatives of the objective and constraints, analytically, in order to develop an iterative gradient-based sequential optimization algorithm to solve the non-convex problem. Promising simulation results show that the solution of the proposed algorithm is sufficiently close to the optimal (full-baseband) precoder solution, regardless of the channel characteristics.

AB - The combination of baseband and analog precoding for multiple-input multiple-output (MIMO) systems is considered in this paper which is referred to as hybrid precoding. The system capacity, as a design criterion, is maximized subject to unit modulus constraints on the elements of the analog precoder (phase shifters), and a total power constraint. This is a non-convex problem due to the product of the analog and baseband precoder variables. The proposed technique suggests computing non-trivial complex derivatives of the objective and constraints, analytically, in order to develop an iterative gradient-based sequential optimization algorithm to solve the non-convex problem. Promising simulation results show that the solution of the proposed algorithm is sufficiently close to the optimal (full-baseband) precoder solution, regardless of the channel characteristics.

KW - hybrid precoding

KW - multiple-input multiple-output (MIMO)

KW - nonlinear optimization

KW - sequential quadratic programming

UR - https://www.scopus.com/pages/publications/85023743996

U2 - 10.1109/ICASSP.2017.7952805

DO - 10.1109/ICASSP.2017.7952805

M3 - Conference contribution

AN - SCOPUS:85023743996

SP - 3489

EP - 3493

BT - 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings

PB - IEEE

CY - Piscataway, NJ

T2 - ICASSP 2017

Y2 - 5 March 2017 through 9 March 2017

ER -

Gradient-Based Solution for Hybrid Precoding in MIMO Systems

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Conference

Keywords

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