In recent years, Wireless cellular network design with distributed antenna system (DAS) has received much attention for its ability to extend... Show moreIn recent years, Wireless cellular network design with distributed antenna system (DAS) has received much attention for its ability to extend the cell coverage, improve spectral efficiency and increase the system capacity. Instead of locating all antennas at the cell center in the centralized antenna systems (CAS), distributed antenna basements in the DAS are separated geographically, which has been wide implemented to cover the dead spots and improve the system efficiency in wireless communication systems The mainly purpose of this research is to find optimal antenna locations that maximize the cell average ergodic capacity for the distributed-antenna system in downlink applied condition. Squared distance criterion (SDC) will be considered to offer an object function to maximize the lower bound of the cell average ergodic capacity. Existed analyses for location design in distributed antenna system are based on the uniform distribution without considering other cell interference. Considering other cell interference, I derive the analytical antenna location position for the infinite uniform distribution linear cell. For multi-cell applied condition implementation, I get reasonable locations of the applied condition by applying K-means algorithm to generating the initial values and find the optimal location. In order to solve the multi-cell scenario considering other-cell interference, I change the existed algorithm and simulation results show the performance of the obtained antenna location with changed algorithm offer a higher performance than the original one. I propose a circle initial setup to generate the initial points for relative location and converge fitting. The simulation has showed the initial setup I proposed significant reduce the computation in the antenna location design in applied downlink scenario. M.S. in Electrical Engineering, July 2015 Show less
