Zhong, Lin2019-05-162019-05-162017-122018-01-09December 2Shepard, Clayton W. "Argos: Practical Many-Antenna MU-MIMO Systems." (2018) Diss., Rice University. <a href="https://hdl.handle.net/1911/105558">https://hdl.handle.net/1911/105558</a>.https://hdl.handle.net/1911/105558Many-antenna MU-MIMO, or "massive" MIMO at large scale, is a key candidate technology for next-generation wireless systems. However, from a practical design perspective scaling up MU-MIMO presents a number of unique challenges and opportunities. To efficiently utilize computational, power, and channel resources requires a complete redesign of many aspects of traditional MIMO systems, particularly the base station architecture and control channel. Furthermore, mobility fundamentally limits the capacity of many-antenna MU-MIMO systems, thus to efficiently realize practical many-antenna MU-MIMO systems requires performance modeling and testing in real-world environments. This thesis presents a novel scalable many-antenna base station architecture and control channel design, which are implemented and tested on three generations of large-scale custom built hardware platforms. We derive a theoretical model of many-antenna MU-MIMO system performance in real-world environments, accounting for hardware capabilities and channel estimation overhead. Leveraging these many-antenna MU-MIMO platforms, we conducted a comprehensive channel measurement campaign, spanning the UHF, 2.4 GHz, and 5 GHz bands, with varying degrees of mobility. Based on these measurements, we implement a mobility-aware MU-MIMO channel sounding system, which is able to virtually eliminate overhead from unnecessary channel sounding. Combined, these innovations enable many-antenna MU-MIMO systems to be efficiently implemented in real-world environments with mobility.application/pdfengCopyright 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.ArgosMU-MIMObeamformingmassive MIMOMIMOwirelesscontrol channelmobilitymeasurementsThesis2019-05-16