Delay QoS Guarantee Algorithm For Visible Light Communication Based On Martingale Theory

The wireless communication scene is becoming more complicated with the growing number of terminals and the emergence of new services.The various types of services put forward a higher requirement on quality of service(QoS)and the management of service resources.Radio frequency(RF)communication technology presents shortcomings such as a low data transmission rate and a shortage of spectrum resource,so it may not meet the high requirements of service transmission.Visible light communication(VLC)has attracted wide attention due to its high data rate and low energy consumption.These advantages coincide with the demand for new communication technology services.It is particularly important to allocate system resources reasonably,while ensuring QoS in the VLC system and improving system resource utilization.In this thesis,a network queuing model for multi service arrival is established based on indoor visible light uplink communication system.Markov Modulated On Off(MMOO)process is used to describe the terminal service arrival process of the communication system,in order to get closer to the bursty arrivals process in real life scene.ALOHA random access system with Multi-Packet Reception(MPR)enabled is adopted to solve the terminal collision problem in VLC system.The supermartingale theory is introduced to analyze the queue system,and the tighter delay violation probability is obtained,which improves the utilization rate of service resources under the premise of ensuring the QoS of users.A resource matching algorithm is designed based on the theory of supermartingales to evaluate the service rate requirements under delay QoS constraints in VLC uplink systems.An access control algorithm based on QoS guarantee is proposed to improve the utilization rate of VLC uplink communication system resources.The algorithm is modeled as an optimization problem with the goal of maximizing the achievable rate of the system.With access probability as the constraint condition,the system could support the construction of optimization problems with maximum arrival rate as the optimization objective.The supermartingale theory is combined with the AO(Aquila Optimizer)algorithm to solve the maximum arrival rate that the VLC uplink communication system can support at a fixed service rate.Our main contributions are as follows:(1)Considering the burstiness of network traffic,we model the queuing system with multiple MMOO arrivals.The ALOHA MPR mechanism is adopted to alleviate the multiterminal collisions.The queuing system is analyzed by using the supermartingale theory,and the arrival martingale,service martingale,queue length supermartingale and delay violation probability bounds of the communication system are derived based on the supermartingale theory.In the VLC uplink communication scenario,supermartingale theory is used,and the delay performance of the system is evaluated through the constructed supermartingale and supermartingale stop time theory.(2)For VLC uplink communication systems,this thesis proposes a resource matching algorithm based on QoS guarantee.The algorithm uses supermartingale theory to design a search program to evaluate user service rate requirements under delay QoS constraints.We simulate the delay-violation probability bound based on the method of supermartingale and large deviation.The simulation results show that the delay violation probability bound based on supermartingale theory is tighter than the delay violation probability bound based on large deviation theory,which verifies the superiority of supermartingale theory.The simulation comparison diagram between the proposed algorithm and the large deviation algorithm shows that the service rate required by the proposed algorithm is smaller than that assessed by the large deviation algorithm.This indicates that algorithms based on supermartingales could save resources and improve resource utilization.(3)An access control algorithm based on QoS guarantee is proposed to improve the resource utilization rate of VLC system.The algorithm realizes the access control of VLC uplink communication system by solving the maximum arrival rate supported by the system.In this research,the maximization of the peak rate of MMOO stream is used to represent the maximization of the arrival rate that the system can support in the uplink communication of VLC.The maximum arrival rate supported by the system at a fixed service rate is solved by the fusion of AO algorithm and supermartingale theory.In the simulation,the impact of system arrival and service parameters on the supported arrival rate of the system is analyzed through the graph of the impact of arrival parameters and service parameters on the arrival rate.