Channel Estimation in Massive MIMO: Algorithm and Hardware

Currently 5G is research hotspot in communication field, and one of the most promising wireless transmission technologies for 5G is massive multiple input multiple output (MIMO) which provides high data rate and energy efficiency. The main challenge of massive MIMO is the channel estimation due to t...

Full description

Saved in:
Bibliographic Details
Published inComputer Engineering and Technology pp. 69 - 84
Main Authors Tang, Chuan, Liu, Cang, Yuan, Luechao, Xing, Zuocheng
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2016
SeriesCommunications in Computer and Information Science
Subjects
Channel estimation
FPGA
Hardware accelerator
Massive MIMO
Online AccessGet full text

Cover

More Information
Summary:Currently 5G is research hotspot in communication field, and one of the most promising wireless transmission technologies for 5G is massive multiple input multiple output (MIMO) which provides high data rate and energy efficiency. The main challenge of massive MIMO is the channel estimation due to the complexity and pilot contamination. Some improvement of traditional channel estimation methods to solve the problem in massive MIMO have been introduced in this paper. Besides, the hardware acceleration is useful for massive MIMO channel estimation algorithm. We discuss the relate work about hardware accelerator of matrix inversion and singular value decomposition which are the main complex operations of channel estimation. We find that the memory system, network of processing elements and the precision will be the main research directions for the hardware design of large-scale data size.
ISBN:9783662492826
3662492822
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-662-49283-3_8