Research And Algorithm Design Of Tunnel Wireless Network Otimization Based On Interference Management

The situation of safety production in mining industry is grim,and frequent accidents occur in underground mine,among which transportation accidents account for a large proportion.Unmanned underground locomotive transportation system is realized through the remote monitoring of the video of transport scene,locomotive position,and speed information etc.It can improve transportation safety and reduce personnels in underground mine,and it is considered to be a fundamental measure to solve the underground transportation security problem.Unmanned underground locomotive transportation system is based on a tunnel mobile broadband internet construction,but some new demands are put forward,mainly including network performance optimization in the movement process of multi locomotives in the mobile streaming media data with high throughput uplink and downlink control instructions and high real-time locomotive between the access point of seamless switch.In the theory of interference management,the serial interference cancellation technology provides a new idea for improving the performance of the mobile broadband network by using iterative operation to eliminate interference and realize concurrent reception.Based on the serial interference cancellation technology and the cross layer design schemes,a complete optimization for tunnel mobile broadband internet is proposed.It achieves network transmission performance optimization for multi locomotives concurrent uplink transmission under a single access point and deployment optimization under multi access points.Moreover,it provides the evaluation about concurrent fading receiving performance,power allocation optimization,etc.The main investigations of this thesis are as follows:(1)The optimization model of multi-user concurrent uplink transmission network based on serial interference cancellation under single access point is analyzed and constructed,and it is simplified by using the regular characteristics of locomotive scheduling.Based on the simplified model,a network optimization combining serial interference cancellation in physical layer with time division multiplexing in data access layer is proposed,and the implementation algorithm is designed.The simulation results show that with the serial interference cancellation technique,the average transmission rate of the network is increased by more than 40%,and the trend is further improved with the increase of locomotive number.(2)A belt network optimization model composed of multi access points based on serial interference cancellation is analyzed and constructed.The relationship among network transmission rate,locomotive speed and packing density of the links is found by theoretical derivation.An optimization for wireless network self correction is proposed,and the implementation algorithm is designed.Then,the deployment for the application of possible non-uniform access point is analyzed,the corresponding adjustment strategy is given.The simulation results show that with the serial interference cancellation technology,deployment and the number of access points through the whole locomotive line time performance is greatly improved.(3)Considering multipath fading caused by multipath propagation in real environment,interference factor is introduced based on serial interference cancellation.According to the analysis of general wireless network,an optimization model of resource allocation is established for multi users and multi channels.By theoretical deduction,the optimal power allocation ratio is obtained under certain successful analytic probability,and three schemes for power and channel allocation are given.The simulation results show that the optimal power allocation has the best overall performance under the condition of Rayleigh fading and Rician fading.