A scalable massive MIMO array architecture based on common modules

Puglielli, Antonio; Narevsky, Nathan; Lü, Pei; Courtade, Thomas A.; Wright, G. I.; Nikolić, Borivoje; Alon, Elad

doi:10.1109/iccw.2015.7247359

Cited by 34 publications

(39 citation statements)

References 15 publications

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“…The authors in [19,20] has proposed a system where the processing is distributed across several identical modules. These modules are connected in an array structure.…”

Section: Node Interconnection Topologymentioning

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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“…The authors in [19,20] has proposed a system where the processing is distributed across several identical modules. These modules are connected in an array structure.…”

Section: Node Interconnection Topologymentioning

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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“…Since the functionality of an RF transceiver can be split into the analog front-end, analog-to-digital (AD)/digitalto-analog (DA) converters, and baseband processing, there are three qualitatively different architectures from distributing different portions of the transceiver chain. Following the same order as the arguments presented in [31], these can be summarized as: The aforementioned architectures are presented in Fig. 2, where a varying degree of centralized processing is observed as we transition from analog to the digital distributed processing.…”

Section: Real-time Implementation Architecturesmentioning

confidence: 99%

“…4. Possible routing schemes inspired by the arguments in [31]. Throughputs are shown for an example where each block generates 400Mb/s.…”

Section: Backplane Interconnect Topologies and Impact Of Distributed mentioning

confidence: 99%

“…We note that the above discussions are inspired by [31]. We assume that each terminal's modulated data stream is represented by in-phase and quadrature samples of Nbit,beamf bits each, then the maximum throughput at the central processor is given by Rmax = 2KBNbit,beamf, and the aggregate throughput to deliver all K signals to all N modules is given by Rtot = 2NKBNbit,beamf [31]. The substantial improvement over fully centralized processing is evident since the throughput of the central processor's link is now proportional to the number of terminals.…”

Section: Backplane Interconnect Topologies and Impact Of Distributed mentioning

confidence: 99%

See 1 more Smart Citation

Real-Time Implementation Aspects of Large Intelligent Surfaces

Tataria

Tufvesson

Edfors

2020

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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With the potential to provide a clean break from massive multipleinput multiple-output, large intelligent surfaces (LISs) have recently received a thrust of research interest. Various proposals have been made in the literature to define the exact functionality of LISs, ranging from fully active to largely passive solutions. Nevertheless, almost all studies in the literature investigate the fundamental spectral efficiency performance of these architectures. In stark contrast, this paper investigates the implementation aspects of LISs. Using the fully active LIS as the basis of our exposition, we first present a rigorous discussion on the relative merits and disadvantages of possible implementation architectures from a radio-frequency circuits and real-time processing viewpoints. We then show that a distributed architecture based on a common module interfacing a smaller number of antennas can be scalable. To avoid severe losses with analog signal distribution, multiple common modules can be interconnected via a digital nearest-neighbor network. Furthermore, we show that with such a design, the maximum backplane throughput scales with the number of served user terminals, instead of the number of antennas across the surface. The discussions in the paper can serve as a guideline toward the real-time design and development of LISs.

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“…With Massive MIMO the system module should communicate with numerous RF modules [107]. This communication requires extremely fast and reliable buses for the system to operate properly.…”

Section: Implementation Of Massive Mimo and Beamformingmentioning

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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A scalable massive MIMO array architecture based on common modules

Cited by 34 publications

References 15 publications

A scalable architecture for massive MIMO base stations using distributed processing

A scalable architecture for massive MIMO base stations using distributed processing

Real-Time Implementation Aspects of Large Intelligent Surfaces

5G – Wireless Communications for 2020

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