Joint Coordinated Transmission Technologies In Wi-Fi Network

With the rapid development of today’s wireless communication technology and the everincreasing demands in life,the amount of data traffic is also showing explosive growth.Wireless Fidelity(Wi-Fi)has always been in the mainstream of wireless networks because of its low cost,simple deployment,and high flexibility.In this context of the continuous development of intelligent networks,home security,healthcare,and smart homes have received more and more attention,and Wi-Fi system deployment will become more and more intensive.With the rapid growth of smart devices in Wi-Fi,due to the limited bandwidth in mainstream frequency bands,spectrum reuse has become an effective strategy to improve frequency resource utilization.If there are too many devices on the same frequency,it will cause a lot of interference,which will lead to a decrease in the throughput of the system.Cooperative multi-point communication can effectively reduce the impact of interference between Basic Service Sets(BSS)on edge users,and this method becomes an effective means to improve system throughput.Therefore,this thesis focuses on the joint cooperative transmission technology in Wi-Fi networks.First,based on the 802.11 interference model,this thesis analyzes the joint transmission model.Aiming at the dense deployment scenario of Access Points(APs)in 802.11 be,under the condition of limited bandwidth,dynamic cooperation can be achieved by rationally selecting equipment for joint transmission,thereby improving the spectral efficiency of edge users.Therefore,an adaptive dynamic adjustment joint transmission strategy and a cooperative multi-point resource scheduling joint optimization objective algorithm are proposed.At first,all users are classified,and then a resource allocation algorithm that considers fairness and throughput is used to further improve the system performance.Using this method,users with good channel status and poor channel status can be allocated the maximum resources.The simulation results show that the proposed algorithm can make the edge spectral efficiency have a significant performance gain without losing the center spectral efficiency,which not only improves the system throughput,but also allows users to get a better experience in communication.Then,based on the dense deployment of APs in 802.11 be,in the context of joint transmission,under the condition of limited power,we propose an AP selection strategy and a power control scheme based on genetic algorithm to jointly optimize the target algorithm.By setting the threshold,the edge users can choose the appropriate joint transmission strategy,and the power control problem of multi-point cooperation is transformed into the problem of maximizing the system capacity.An improved genetic algorithm is also introduced to optimize the traversal process to configure the power and optimize the throughput of the target.The simulation results show that the proposed algorithm is more effective in power control,and because of ensuring that all users can send data at the rate of MCS0,and the signal-tointerference-to-noise ratio and throughput are improved,thereby improving the performance of the entire system.