Research On Optimization Strategy Of Channel Resource Utilization In Wireless Networks

With the increasing popularity of wireless network and mobile terminals,due to the limited channel resources and the infinite user demand,the channel resource utilization optimization problem become a research hotspot in the field of wireless network.The development of new technology and the design of resource scheduling strategy are the key to improve network capacity gain and optimize spectrum utilization.In this paper,we study the optimization strategy of channel resource utilization issues in the different scenarios of wireless network,and the main works of our study shown as following:(1)We proposed an approximation link scheduling algorithm based on directional interference model under directional wireless network.Through the scheduling strategy to select best scheduling link combination for transmission slot in one channel,which can reduce the inter-user interference to improve the network capacity.In this paper,we extended this problem to the wireless network environment using directional antenna.Based on the physical interference model,we develop a directional interference model applied to the directional antenna environment,and first propose an approximation algorithmto solve scheduling problem under directional environment.Finally,we proved the correctness of the algorithm by mathematical analysis,and analyze the performance of the algorithm by simulation experiments.(2)We designed a fairness user selection scheme based on dynamic time warping under multiuser MIMO downlink system.This is a technique introduced in 802.11 ac standard of wireless local area network.The user scheduling strategy try to select the best downlink transmission user combination,which is an essential method to reduce system loss and improved capacity gain.In this paper,we adopt MU-MIMO technique to increase network capacity.Then we design a rate prediction mechanism for user selection scheme without channel state information feedback in order to reduce the system complexity.Based on the idea of time dynamic programming,we propose a scalable user selection scheme for multiuser MIMO systems to improve the utilization of transmission time resources and channel resources.Finally,simulation experiment showthe performance of algorithm andthe performance comparison from the user competition fairness and network capacity.