Massive MIMO for next generation wireless systems

Larsson, Erik G.; Edfors, Ove; Tufvesson, Fredrik; Marzetta, Thomas L.

doi:10.1109/mcom.2014.6736761

Cited by 5,945 publications

(3,650 citation statements)

References 20 publications

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“…where a cellular Base Station (BS) is equiped with a large number of antennas and is connected to several simultaneous terminals [3]. Massive MIMO significantly improves the spectral efficiency and reduces the radiated energy [4].…”

Section: Massive Multi User (Mu) Multiple Input Multiple Output (Mimomentioning

confidence: 99%

A scalable architecture for massive MIMO base stations using distributed processing

Bertilsson

Gustafsson

Larsson

2016

2016 50th Asilomar Conference on Signals, Systems and Computers

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Massive MIMO is an emerging technology for future wireless systems that has received much attention from both academia and industry recently. The most prominent feature of Massive MIMO is that the base station is equiped with a large number of antennas. It is therefore important to create scalable architectures to enable simple deployment in different configurations.In this thesis, a distributed architecture for performing the baseband processing in a massive OFDM MU-MIMO system is proposed and analyzed. The proposed architecture is based on connecting several identical nodes in a K-ary tree. It is shown that, depending on the chosen algorithms, all or most computations can be performed in a distrbuted manner. Also, the computational load of each node does not depend on the number of nodes in the tree (except for some timing issues) which implies simple scalability of the system.It is shown that it should be enough that each node contains one or two complex multipliers and a few complex adders running at a couple of hundres MHz to support specifications similar to LTE. Additionally the nodes must communicate with each other over links with data rates in the order of some Gbps.Finally, a VHDL implementation of the system is proposed. The implementation is parameterized such that a system can be generated from a given specification. Nyckelord KeywordsElektroteknik, ASIC, Massiv MIMO AbstractMassive MIMO is an emerging technology for future wireless systems that has received much attention from both academia and industry recently. The most prominent feature of Massive MIMO is that the base station is equiped with a large number of antennas. It is therefore important to create scalable architectures to enable simple deployment in different configurations.In this thesis, a distributed architecture for performing the baseband processing in a massive OFDM MU-MIMO system is proposed and analyzed. The proposed architecture is based on connecting several identical nodes in a K-ary tree. It is shown that, depending on the chosen algorithms, all or most computations can be performed in a distrbuted manner. Also, the computational load of each node does not depend on the number of nodes in the tree (except for some timing issues) which implies simple scalability of the system.It is shown that it should be enough that each node contains one or two complex multipliers and a few complex adders running at a couple of hundres MHz to support specifications similar to LTE. Additionally the nodes must communicate with each other over links with data rates in the order of some Gbps.Finally, a VHDL implementation of the system is proposed. The implementation is parameterized such that a system can be generated from a given specification.iii

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Section: Massive Multi User (Mu) Multiple Input Multiple Output (Mimomentioning

confidence: 99%

A scalable architecture for massive MIMO base stations using distributed processing

Bertilsson

Gustafsson

Larsson

2016

2016 50th Asilomar Conference on Signals, Systems and Computers

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“…Besides the previous discussion, some other challenges for implementation of potential 5G techniques can be cited [100,104,108]:…”

Section: Other Challengesmentioning

confidence: 99%

“…Those techniques require fast algorithm processing, very selective filters, precise clock generation and better printed circuit board design. Design of intelligent antennas is also a key area for 5G development [99,100]. This section will describe some of the technological challenges for realization of some 5G techniques in hardware.…”

Section: Implementation Challengesmentioning

confidence: 99%

5G – Wireless Communications for 2020

Barreto

Faria²,

Almeida³

et al. 2016

JCIS

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Abstract-Existing cellular technologies are rapidly coming to their performance limits. This is due not only to the growth in data traffic and in the number of connected terminals, but also because we are on the verge of new era, where everyone and everything will be connected, with more demanding and varied requirements that cannot be satisfied by current networks. On account of this, efforts are being made all over the world to design new wireless technologies that will support the expected demands for the next decade. These technologies, embraced under the commercial name of 5 th generation, are currently being studied, and in this tutorial paper we will give an overview of the main trends that are likely to make their way in the next-generation standards.

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“…Not only are theoretical limits of channel state information and pilot contamination [3]- [6], which are linked to array reciprocity calibration [7], [8], subject of ongoing research. Hardware impairments such as I/Q-imbalance, phase noise and power-amplifier non-linearities are considered in literature as well [9].…”

Section: Introductionmentioning

confidence: 99%

A mutual coupling model for massive MIMO applied to the 3GPP 3D channel model

Pratschner

Caban

Schwarz

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Massive Multiple-Input Multiple-Output (MIMO) has become one of the key technologies for future mobile communication systems. Although there is a variety of potential benefits, unresolved implementation issues of massive MIMO are manifold. In this work, we consider the issue of mutual coupling in large antenna arrays. A known matrix model that describes array coupling effects is considered. This coupling model is augmented by a matching network in order to provide a universal coupling model that is applicable to any channel model. Impact of array coupling is then shown by applying the coupling matrix on the 3rd Generation Partnership Project 3D channel model. We show that the matching network leads to decorrelation and significantly reduces capacity losses due to mutual coupling in the context of massive MIMO.

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Massive MIMO for next generation wireless systems

Cited by 5,945 publications

References 20 publications

A scalable architecture for massive MIMO base stations using distributed processing

A scalable architecture for massive MIMO base stations using distributed processing

5G – Wireless Communications for 2020

A mutual coupling model for massive MIMO applied to the 3GPP 3D channel model

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