Software-based Baseband Processing for Massive MIMO

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dc.contributor.advisorZhong, Linen_US
dc.creatorDing, Jianen_US
dc.date.accessioned2019-09-16T19:57:52Zen_US
dc.date.available2019-09-16T19:57:52Zen_US
dc.date.created2019-05en_US
dc.date.issued2019-08-13en_US
dc.date.submittedMay 2019en_US
dc.date.updated2019-09-16T19:57:52Zen_US
dc.description.abstractLarge-Scale multiple-input multiple-output (MIMO) is a key technology for improving spectral efficiency. However, it requires massive, real-time computation. All existing solutions are based on dedicated, specialized hardware, e.g., FPGA, that is expensive, inflexible and difficult to program. This thesis investigates a software-only solution that exploits recent CPU development supporting many cores and architectural extensions for fine-grained parallelism. We present a high-performance framework for real-time, large-scale baseband processing on a many-core server. To achieve the high data rate and low latency promised by 5G, the framework utilizes data parallelism and exploits architecture features, including memory hierarchy and SIMD extensions, to accelerate computations and data movements. We report a prototype on a 36-core server and evaluate its performance.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationDing, Jian. "Software-based Baseband Processing for Massive MIMO." (2019) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/107406">https://hdl.handle.net/1911/107406</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/107406en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectbaseband processingen_US
dc.subjectmassive MIMOen_US
dc.subjectparallel computingen_US
dc.subject5Gen_US
dc.titleSoftware-based Baseband Processing for Massive MIMOen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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