A Generalized Sum-Rate Optimizer for Cooperative Multiuser Massive MIMO Link Topologies

Large-scale, or massive, multiple-input multiple-output (MIMO) systems are typified by the number of antennas contributing to a communication link. This type of link can consist of single nodes with a large number of antennas or a large number of cooperating nodes-each contributing a small number of...

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Published inIEEE access Vol. 2; pp. 1040 - 1050
Main Authors Anderson, Adam L., Jensen, Michael A.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Antennas
Large-scale systems
MIMO
MIMO (control systems)
Multiuser channels
Network topology
Nodes
Optimization
Signal processing
Signal processing algorithms
Topology
multiuser channels
Large MIMO systems
array signal processing
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Abstract Large-scale, or massive, multiple-input multiple-output (MIMO) systems are typified by the number of antennas contributing to a communication link. This type of link can consist of single nodes with a large number of antennas or a large number of cooperating nodes-each contributing a small number of antennas. Such massive systems naturally lead to link topologies that are not often considered in studies of smaller scale cooperative MIMO scenarios. For this system to be economically practical, each node participating in the massive link likely has limited transmit power capability, and therefore properly limiting the per-node transmit power must be incorporated into the signal processing algorithm. This paper develops a generalized multiuser massive MIMO (G4M) optimization algorithm for colocated or cooperative signaling, subject to any sum-, per-antenna, or per-node power constraint, and that can also accommodate nonlinear precoding and detection and any number of antennas. Using the G4M algorithm, a number of topologies unique to cooperative massive MIMO are described, demonstrating the facility this algorithm provides in optimizing the performance of multiuser massive links with atypical topologies.
AbstractList Large-scale, or massive, multiple-input multiple-output (MIMO) systems are typified by the number of antennas contributing to a communication link. This type of link can consist of single nodes with a large number of antennas or a large number of cooperating nodes-each contributing a small number of antennas. Such massive systems naturally lead to link topologies that are not often considered in studies of smaller scale cooperative MIMO scenarios. For this system to be economically practical, each node participating in the massive link likely has limited transmit power capability, and therefore properly limiting the per-node transmit power must be incorporated into the signal processing algorithm. This paper develops a generalized multiuser massive MIMO (G4M) optimization algorithm for colocated or cooperative signaling, subject to any sum-, per-antenna, or per-node power constraint, and that can also accommodate nonlinear precoding and detection and any number of antennas. Using the G4M algorithm, a number of topologies unique to cooperative massive MIMO are described, demonstrating the facility this algorithm provides in optimizing the performance of multiuser massive links with atypical topologies.
Author Jensen, Michael A.
Anderson, Adam L.
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array signal processing
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SubjectTerms Algorithms
Antennas
Large-scale systems
MIMO
MIMO (control systems)
Multiuser channels
Network topology
Nodes
Optimization
Signal processing
Signal processing algorithms
Topology
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Title A Generalized Sum-Rate Optimizer for Cooperative Multiuser Massive MIMO Link Topologies
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