Investigation on Key technologies in large-scale MIMO

Xin Su; Jie Zeng; Li Ping Rong; Yu Jun Kuang

doi:10.1007/s11390-013-1342-4

Investigation on Key technologies in large-scale MIMO

Xin Su, Jie Zeng^*, Li Ping Rong, Yu Jun Kuang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

18 Citations (Scopus)

Abstract

Large-scale MIMO (multiple-input multiple-output) systems with numerous low-power antennas can provide better performance in terms of spectrum efficiency, power saving and link reliability than conventional MIMO. For large-scale MIMO, there are several technical issues that need to be practically addressed (e.g., pilot pattern design and low-power transmission design) and theoretically addressed (e.g., capacity bound, channel estimation, and power allocation strategies). In this paper, we analyze the sum rate upper bound of large-scale MIMO, investigate its key technologies including channel estimation, downlink precoding, and uplink detection. We also present some perspectives concerning new channel modeling approaches, advanced user scheduling algorithms, etc.

Original language	English
Pages (from-to)	412-419
Number of pages	8
Journal	Journal of Computer Science and Technology
Volume	28
Issue number	3
DOIs	https://doi.org/10.1007/s11390-013-1342-4
Publication status	Published - May 2013
Externally published	Yes

Keywords

channel estimation
downlink precoding
large-scale multiple-input multiple-output
uplink detection

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10.1007/s11390-013-1342-4

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title = "Investigation on Key technologies in large-scale MIMO",

abstract = "Large-scale MIMO (multiple-input multiple-output) systems with numerous low-power antennas can provide better performance in terms of spectrum efficiency, power saving and link reliability than conventional MIMO. For large-scale MIMO, there are several technical issues that need to be practically addressed (e.g., pilot pattern design and low-power transmission design) and theoretically addressed (e.g., capacity bound, channel estimation, and power allocation strategies). In this paper, we analyze the sum rate upper bound of large-scale MIMO, investigate its key technologies including channel estimation, downlink precoding, and uplink detection. We also present some perspectives concerning new channel modeling approaches, advanced user scheduling algorithms, etc.",

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author = "Xin Su and Jie Zeng and Rong, {Li Ping} and Kuang, {Yu Jun}",

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language = "English",

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T1 - Investigation on Key technologies in large-scale MIMO

AU - Su, Xin

AU - Zeng, Jie

AU - Rong, Li Ping

AU - Kuang, Yu Jun

PY - 2013/5

Y1 - 2013/5

N2 - Large-scale MIMO (multiple-input multiple-output) systems with numerous low-power antennas can provide better performance in terms of spectrum efficiency, power saving and link reliability than conventional MIMO. For large-scale MIMO, there are several technical issues that need to be practically addressed (e.g., pilot pattern design and low-power transmission design) and theoretically addressed (e.g., capacity bound, channel estimation, and power allocation strategies). In this paper, we analyze the sum rate upper bound of large-scale MIMO, investigate its key technologies including channel estimation, downlink precoding, and uplink detection. We also present some perspectives concerning new channel modeling approaches, advanced user scheduling algorithms, etc.

AB - Large-scale MIMO (multiple-input multiple-output) systems with numerous low-power antennas can provide better performance in terms of spectrum efficiency, power saving and link reliability than conventional MIMO. For large-scale MIMO, there are several technical issues that need to be practically addressed (e.g., pilot pattern design and low-power transmission design) and theoretically addressed (e.g., capacity bound, channel estimation, and power allocation strategies). In this paper, we analyze the sum rate upper bound of large-scale MIMO, investigate its key technologies including channel estimation, downlink precoding, and uplink detection. We also present some perspectives concerning new channel modeling approaches, advanced user scheduling algorithms, etc.

KW - channel estimation

KW - downlink precoding

KW - large-scale multiple-input multiple-output

KW - uplink detection

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DO - 10.1007/s11390-013-1342-4

M3 - Article

AN - SCOPUS:84877814154

SN - 1000-9000

VL - 28

SP - 412

EP - 419

JO - Journal of Computer Science and Technology

JF - Journal of Computer Science and Technology

IS - 3

ER -

Investigation on Key technologies in large-scale MIMO

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Keywords

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