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A Scalable Architecture for Massive MIMO Base Stations Using Distributed Processing
Linköping University, Department of Electrical Engineering, Computer Engineering.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. , 62 p.
Keyword [en]
Massiv MIMO, ASIC, Architecture
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-133998ISRN: LiTH-ISY-EX--16/5019--SEOAI: oai:DiVA.org:liu-133998DiVA: diva2:1066262
Subject / course
Electrical Engineering
Supervisors
Examiners
Available from: 2017-01-18 Created: 2017-01-17 Last updated: 2017-01-18Bibliographically approved

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