Low-Complexity Hybrid Precoding Algorithm Based on Log-Det Expansion for GenSM-Aided MmWave MIMO System

Generalized spatial modulation (GenSM) aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) system has been recently considered as a new efficient technique due to the combination of numerous antennas and reduced number of radio frequency (RF) chains. However, the present hybrid prec...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 70; no. 2; pp. 1554 - 1564
Main Authors: Shi, Xu, Wang, Jintao, Pan, Changyong, Song, Jian
Format: Journal Article
Language:English
Published: New York IEEE 01.02.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Complexity
Computational complexity
GenSM
hybrid precoding
Iterative methods
log-det expansion
low-complexity
Lower bounds
Millimeter wave technology
Millimeter waves
MIMO (control systems)
MIMO communication
mmWave
Precoding
Radio frequency
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:Generalized spatial modulation (GenSM) aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) system has been recently considered as a new efficient technique due to the combination of numerous antennas and reduced number of radio frequency (RF) chains. However, the present hybrid precoding schemes for GenSM-aided system are still troubled by high computational complexity and performance loss in spectral efficiency (SE). In this paper we propose low-complexity hybrid precoding schemes based on Martin's expansion for logarithmic determinant (log-det) form in analytical SE lower bound. Digital and analog precoders are herein optimized separately, which means complicated alternating minimization iteration is omitted. Besides, we can adjust algorithmic complexity adaptively corresponding to different demand levels for users. Finally the numerical simulations show that the proposed methods outperform other GenSM-aided mmWave MIMO schemes and can achieve a better tradeoff between complexity and SE.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2021.3054398