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A Scalable Architecture for Massive MIMO Base Stations Using Distributed Processing
Linköpings universitet, Institutionen för systemteknik, Datorteknik.
2017 (Engelska)Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
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.

Ort, förlag, år, upplaga, sidor
2017. , s. 62
Nyckelord [en]
Massiv MIMO, ASIC, Architecture
Nationell ämneskategori
Kommunikationssystem
Identifikatorer
URN: urn:nbn:se:liu:diva-133998ISRN: LiTH-ISY-EX--16/5019--SEOAI: oai:DiVA.org:liu-133998DiVA, id: diva2:1066262
Ämne / kurs
Elektroteknik
Handledare
Examinatorer
Tillgänglig från: 2017-01-18 Skapad: 2017-01-17 Senast uppdaterad: 2017-01-18Bibliografiskt granskad

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