Adaptive SU/MU-MIMO scheduling schemes for LTE-A downlink transmission

We investigate multi-user (MU) multiple-input multiple-output (MIMO) scheduling under the practical constraints in long-term evolution advanced (LTE-A) downlink cellular networks. The authors first derive the received signal model in MU-MIMO systems when there exist both inter-stream interference (I...

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Bibliographic Details
Published in:IET communications Vol. 11; no. 6; pp. 783 - 792
Main Authors: Guo, Wei, Fan, Jiancun, Li, Geoffrey Ye, Yin, Qinye, Zhu, Xiaolong
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 20.04.2017
Subjects:
adaptive SU‐MU‐MIMO scheduling schemes
cellular networks
cellular radio
codebook grouping technique
intercarrier interference
inter‐stream interference
inter‐user interference
Long Term Evolution
long‐term evolution advanced
low‐complexity scheduling algorithms
LTE‐A downlink transmission
MIMO communication
multiuser channels
multiuser multiple‐input multiple‐output scheduling
optimisation problem
precoding
precoding matrix indicator selection
received signal model
Research Article
resource allocation
resource block allocation
suboptimal scheduling algorithms
telecommunication scheduling
user pairing
LTE-A downlink transmission
long-term evolution advanced
precoding matrix indicator selection
resource block allocation
multiuser multiple-input multiple-output scheduling
received signal model
low-complexity scheduling algorithms
telecommunication scheduling
adaptive SU-MU-MIMO scheduling schemes
precoding
optimisation problem
multiuser channels
user pairing
codebook grouping technique
resource allocation
inter-user interference
inter-stream interference
suboptimal scheduling algorithms
cellular networks
Long Term Evolution
MIMO communication
intercarrier interference
cellular radio
ISSN:1751-8628, 1751-8636
Online Access:Get full text
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Summary:We investigate multi-user (MU) multiple-input multiple-output (MIMO) scheduling under the practical constraints in long-term evolution advanced (LTE-A) downlink cellular networks. The authors first derive the received signal model in MU-MIMO systems when there exist both inter-stream interference (ISI) and inter-user interference (IUI) at each user device. Based on this, they formulate the optimisation problem as joint user pairing, precoding matrix indicator (PMI) selection, and resource block (RB) allocation to maximise the total system throughput. The authors then develop a codebook grouping technique for user pairing and PMI selection in MU-MIMO. With the help of codebook grouping, the authors propose some suboptimal and low-complexity scheduling algorithms to improve system throughput. From system-level simulation, the proposed algorithms can improve the network throughput significantly when exploiting only limited feedback designed for single-user (SU) MIMO in the LTE-A specification.
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2016.0456