Liu, Guangyi2020-12-032020-12-032020https://udspace.udel.edu/handle/19716/28175The 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 With the conclusions drawn from the research on massive MISO with outdated CSI, we study one particular type of high-speed users: autonomous vehicles (AVs).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.Wireless networksAntennasCommunication resourcesTransmitting informationResource allocationThesis1225198634https://doi.org/10.58088/x45r-8r102020-09-06en