Advanced wireless networks with densely deployed antennas and imperfect network state information

Author(s)Liu, Guangyi
Date Accessioned2020-12-03T14:01:38Z
Date Available2020-12-03T14:01:38Z
Publication Date2020
SWORD Update2020-09-06T16:03:17Z
AbstractThe future cellular systems with densely deployed antennas result in requirements for increased amounts of feedback for network state information. With the additional communication resources required for transmitting this overhead, in this dissertation, we study the corresponding wireless network performance analysis, as well as the optimal resource allocation and scheduling. We mostly focus on MU-MISO to illustrate potential solutions for maximizing performance. From a rate-distortion theoretic point of view, we study the minimal overhead required to achieve a specied distortion for MU-MISO systems, as well as advanced source coding methods to approach this minimum value. With the conclusions drawn from the research on massive MISO with outdated CSI, we study one particular type of high-speed users: autonomous vehicles (AVs). Routing algorithms for autonomous vehicles with communication constraints are proposed; also, two basic principles for optimal AV trac control with communication constraints are demonstrated.en_US
AdvisorCimini, Leonard J., Jr.
DegreePh.D.
DepartmentUniversity of Delaware, Department of Electrical and Computer Engineering
DOIhttps://doi.org/10.58088/x45r-8r10
Unique Identifier1225198634
URLhttps://udspace.udel.edu/handle/19716/28175
Languageen
PublisherUniversity of Delawareen_US
URIhttps://login.udel.idm.oclc.org/login?url=https://www.proquest.com/docview/2454175701?accountid=10457
KeywordsWireless networksen_US
KeywordsAntennasen_US
KeywordsCommunication resourcesen_US
KeywordsTransmitting informationen_US
KeywordsResource allocationen_US
TitleAdvanced wireless networks with densely deployed antennas and imperfect network state informationen_US
TypeThesisen_US
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