New Hybrid Precoding Algorithm Based on Sub-connected Structure

Millimeter wave communication can provide higher spectrum, so that it's the key technology of 5 G network, but it will also have greater road loss.Large scale antenna array and directional beamforming technology can solve this problem effectively.However, with the increase of the number of ante...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Ji suan ji ke xue Jg. 49; H. 5; S. 256 - 261
Hauptverfasser: Jiang, Rui, Xu, Shan-shan, Xu, You-yun
Format: Journal Article
Sprache:Chinesisch
Veröffentlicht: Chongqing Guojia Kexue Jishu Bu 01.05.2022
Editorial office of Computer Science
Schlagworte:
Algorithms
Antenna arrays
Antennas
Beamforming
Energy efficiency
Iterative algorithms
large scale mimo|hybrid precoding|sub-connected|spectrum efficiency|energy consumption
Matched pursuit
Millimeter waves
Power consumption
Power management
ISSN:1002-137X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Millimeter wave communication can provide higher spectrum, so that it's the key technology of 5 G network, but it will also have greater road loss.Large scale antenna array and directional beamforming technology can solve this problem effectively.However, with the increase of the number of antennas, the cost of hardware and energy of traditional digital precoder is very high, so hybrid precoder is needed to overcome this difficulty.However, the power consumption of the algorithm is high in the fully-connected structure.Therefore, a new hybrid precoding algorithm based on sub-connected structure is proposed in this paper.Firstly, the transmit antenna array is divided into several independent sub-arrays, then the analog precoding matrix of each sub-array is designed, and the spectral efficiency of each sub-array is optimized in turn to maximize the total spectral efficiency.Finally, based on the obtained analog precoding matrix, the digital precoding matrix is solved by the least square method.Simulation result
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1002-137X
DOI:10.11896/jsjkx.210300138