James Dunn

EECS Department, University of California, Berkeley

Technical Report No. UCB/EECS-2020-194

December 1, 2020

http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-194.pdf

Multi-user massive MIMO enables orders of magnitude higher spectral efficiency than non-spatial techniques, increasing channel capacity and enabling the next generation of wireless communications. This thesis presents hardware design, assembly, and testing of Hydra, a real-time, multi-user massive MIMO system. Hydra consists of a base station and user equipment constructed with commercial, off-the-shelf components, and addresses implementation and scalability issues with current massive MIMO systems by demonstrating hardware-efficient distributed beam-forming at mm-wave carrier frequencies.

Advisors: Borivoje Nikolic

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BibTeX citation:

@mastersthesis{Dunn:EECS-2020-194,
    Author= {Dunn, James},
    Editor= {Nikolic, Borivoje and Niknejad, Ali and Alon, Elad},
    Title= {An Open, Scalable Massive MIMO Testbed Operating at E-Band Frequencies},
    School= {EECS Department, University of California, Berkeley},
    Year= {2020},
    Month= {Dec},
    Url= {http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-194.html},
    Number= {UCB/EECS-2020-194},
    Abstract= {Multi-user massive MIMO enables orders of magnitude higher spectral efficiency than non-spatial techniques, increasing channel capacity and enabling the next generation of wireless communications. This thesis presents hardware design, assembly, and testing of Hydra, a real-time, multi-user massive MIMO system. Hydra consists of a base station and user equipment constructed with commercial, off-the-shelf components, and addresses implementation and scalability issues with current massive MIMO systems by demonstrating hardware-efficient distributed beam-forming at mm-wave carrier frequencies.},
}

EndNote citation:

%0 Thesis
%A Dunn, James 
%E Nikolic, Borivoje 
%E Niknejad, Ali 
%E Alon, Elad 
%T An Open, Scalable Massive MIMO Testbed Operating at E-Band Frequencies
%I EECS Department, University of California, Berkeley
%D 2020
%8 December 1
%@ UCB/EECS-2020-194
%U http://www2.eecs.berkeley.edu/Pubs/TechRpts/2020/EECS-2020-194.html
%F Dunn:EECS-2020-194