Research On Massive MIMO Resource Management For High Speed Scenario

Providing uninterrupted internet connectivity to onboard train travelers in high-speed scenario is a challenging issue.The massive development in the number of wireless devices is growing in recent years,Billions of devices are linked through wireless networks.In the meantime,every device needs a high throughput to support applications,for example,voice,real-time video,movies,and games.Demand for wireless throughput and the number of wireless devices will always increase.In addition,there is a growing concern about energy consumption of wireless communication systems.Future wireless systems should satisfy three main requirements:Energy efficiency,Resource allocation and massive MIMO having a high throughput,which serve many users and have less energy consumption,where a base station(BS)equipped with very large numbers of antennas(collocated or distributed)serves many users at the same time-frequency resource can meet the above requirements.Therefore,it is a promising candidate technology for next generations of wireless systems.To design and evaluate the performance of massive MIMO wireless communication systems,there is a developing concern about energy utilization of wireless communication systems.In particular,with a simple power control scheme,massive MIMO can offer uniformly good service for all users.Recently,massive MIMO technology has attracted too many researchers due to its promising capability of greatly improving spectral efficiency,energy efficiency,Resource allocation and robustness of the system.In a massive MIMO system,both the transmitter and receiver are equipped with a large number of antenna elements.Resource allocation in high-speed railway wireless communication networks is one of the key issues to enhance the effectiveness of resource utilization.Nevertheless,traditional resource allocation techniques cannot directly have applied to this communication system.This research concentrates on resource allocation for massive Multiple-Input Multiple-Output(MIMO)arrangement in high-speed mobility scenario.The real-world issue expressed as an optimization model based on energy efficiency(EE).Although User's demands on the information transmission rate,antennas,subcarriers,and transmit Power are iteratively adjusted in accordance to improve the multidimensional objective function.According to the optimization target,subcarriers allocation scheme is scheduled firstly.Then,the scheme is supported by duality theory and optimal existence theorem,a low complexity iterative algorithm is designed to jointly optimize antenna and transmit power allocation.Research about system performance with various configurations are discussed at the end of the thesis.Simulation results indicate that in high-speed mobility scenario,the algorithm is better than existing ones as far as system Energy Efficiency and throughput.