The Research Of Scheduling Algorithm On The Mm-Wave Wireless Communication System Based On Limited Feedback

In recent years, increasing demand for high speed, but the limited frequency spectrum resource seriously hindered the implementation of a higher rate of business.60GHz frequency band millimeter wave due to its free permits, received a lot of attention.This thesis is under the background, according to the 60GHz spectrum characteristics of the millimeter wave to do research. Dense indoor WPAN as the main application scenario of millimeter wave, usually needs to support multiple access and transmission of the links. Most countries in the spectrum resource is divided into decision only cover two channel, which means that how to design reasonable access mechanism and scheduling mechanism so as to improve the spatial reuse of network become one of the key issues to raise the capacity of the network load. In dense networks multi-link will cause too large co-channel interference at the same time, greatly limits the network’s ability. Thus, reasonable design of interference suppression mechanism is also very necessary.This thesis mainly, according to the theory of millimeter wave WPAN spatial reusing. In the existing spatial reuse scheduling algorithm, using the full channel state information(CSI) feedback or none feedback. All of them have problems:full-CSI is more accurate, but with much too feedback load. None feedback have no idea of the CSI, so the scheduling link is random, and then influence the system. This thesis puts forward a new solution:reduced feedback was applied to 60GHz system. Detail solution is:the PCP gets CCI by beamforming in all the stations, then feedback CCI to PCP. The feedback is reduced to 1bit or k bits. After that PCP schedule the slots using the reduced feedback maximum link coexisting algorithm. Verified the feasibility of the algorithm above by simulating and compared with the Blind and full-CSI feedback maximum coexistence links algorithm in spatial reusing gain and time complexity. By simulating, we conclude that the reduced feedback can get the same performance as full-CSI feedback.Across the thesis, full-CSI feedback means feedback all the channel state information, reduced feedback means feedback part of the channel state information.