Go to main content

PDF

Description

This thesis describes a scalable, highly portable, and power-efficient generator for massive multiple-input multiple output (MIMO) uplink baseband processing. This generator is written in Chisel HDL, and produces hardware instances for the distributed processing in a scalable massive MIMO system. The generator is parameterized in both the MIMO system and hardware datapath elements. The performance of several generator instances with different parameter values are validated by emulation on a field-programmable gate array (FPGA), demonstrating both functionality and scalability, and operation up to 6.4Gb/s data throughput.

Details

Title
A Scalable Generator of Massive MIMO Baseband Processing Systems
Creator
Dai, Yue, Author
Published
2021-05-10
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Type
Text
Format
technical reports
Extent
42 p
Language
eng
Usage Statement
Researchers may make free and open use of the UC Berkeley Library’s digitized public domain materials. However, some materials in our online collections may be protected by U.S. copyright law (Title 17, U.S.C.). Use or reproduction of materials protected by copyright beyond that allowed by fair use (Title 17, U.S.C. § 107) requires permission from the copyright owners. The use or reproduction of some materials may also be restricted by terms of University of California gift or purchase agreements, privacy and publicity rights, or trademark law. Responsibility for determining rights status and permissibility of any use or reproduction rests exclusively with the researcher. To learn more or make inquiries, please see our permissions policies (https://www.lib.berkeley.edu/about/permissions-policies).
Collection

Files

Statistics

from
to
Export
Download Full History
Download
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket