Paper Info
Title
Flexible coordinated beamforming with lattice reduction for multi-user Massive MIMO systems
Abstract
The application of precoding algorithms in multiuser massive multiple-input multiple-output (MU-Massive-MIMO) systems is restricted by the dimensionality constraint that the number of transmit antennas has to be greater than or equal to the total number of receive antennas. In this paper, a lattice reduction (LR)-aided flexible coordinated beamforming (LR-FlexCoBF) algorithm is proposed to overcome the dimensionality constraint in overloaded MU-Massive-MIMO systems. A random user selection scheme is integrated with the proposed LR-FlexCoBF to extend its application to MU-Massive-MIMO systems with arbitary overloading levels. Simulation results show that significant improvements in terms of bit error rate (BER) and sum-rate performances can be achieved by the proposed LR-FlexCoBF precoding algorithm.
Year
Venue
Keywords
2014
EUSIPCO
sum-rate performances,bit error rate,overloaded MU-massive-MIMO systems,precoding,LR-FlexCoBF algorithm,receiving antennas,LR-FlexCoBF precoding algorithm,BER,antenna arrays,array signal processing,lattice reduction-aided flexible coordinated beamforming algorithm,MIMO communication,receive antennas,multiuser massive multiple-input multiple-output system,dimensionality constraint,random user selection scheme,arbitary overloading levels
Field
DocType
ISSN
Beamforming,Mimo systems,3G MIMO,Multi-user MIMO,MIMO,Electronic engineering,Mathematics,Precoding,Lattice reduction,Multi-user
Conference
2076-1465
Citations 
PageRank 
References 
0
0.34
21
Authors
4
Name
Order
Citations
PageRank
Keke Zu11007.38
Bin Song2303.79
Martin Haardt33531311.32
Rodrigo C. de Lamare41461179.59