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  • 1.
    Bertilsson, Erik
    Linköping University, Department of Electrical Engineering, Computer Engineering.
    A Scalable Architecture for Massive MIMO Base Stations Using Distributed Processing2017Independent 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.

  • 2.
    Daniel, Andersson
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Erik, Bertilsson
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    August, Ernstsson
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Simon, Mehari
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Alfred, Axelsson
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Viktor, Danielsson
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Anders, Gustafsson
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Hampus, Tjäder
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Lågviktigt mätsystem för obemannad luftburen radiometri2014Independent thesis Basic level (degree of Bachelor), 10,5 credits / 16 HE creditsStudent thesis
    Abstract [sv]

    Syftet med detta examensarbete var att lära sig att genomföra ett programutvecklingsprojekt under realistiska förutsättningar och därigenom få erfarenheter som är relevanta för yrkeslivet. En grupp på åtta personer arbetade under en termin med ett projekt som handlade om utvecklingen av ett obemannat luftburet radiometrisystem. Ett lättare system efterfrågades för att förlänga flygtiden. Under utvecklingen tillämpades metoder från Semat, Scrum och Extreme Programming. Utvecklingsarbetet fungerade bra och en lösning för problemet togs fram, systemet hann dock inte implementeras full ut. Arbetet visade att ett lättare radiometrisystem är aktuellt för framtiden.

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