LTE Network Frequency And PCI Optimization Technology And Application

LTE network resource optimization is an important means to guarantee the quality of mobile communication services. According to the actual operation of the network, optimizing the allocation of various types of configuration parameters and radio resources in the LTE network is an important content of network optimization.Co-channel interference is the main source of LTE network interference. PCI (Physical Cell Identity) is an important parameter of LTE network identification cell and multiple synchronization channels. In the LTE network, it is important to optimize and configure the frequency and PCI in order to reduce the interference in the network and guarantee the network quality of service.LTE network frequency and PCI optimization configuration need to meet a number of constraints, to optimize multiple sub-goals at the same time, belonging to the typical multi-objective optimization problem,multi-objective evolutionary algorithm is to solve nonlinear multi-objective optimization problem important technical means. In this paper, multi-objective genetic algorithm to solve the problem of LTE network resource allocation: frequency and PCI optimization.In this paper, by analyzing the frequency and PCI assignment rules and constraints of LTE network, this paper defines frequency and PCI two dimension and a number of targets, such as, co-station constraints,network interference minimization and neighborhood mode 3 minimization, etc., and design a multi-objective, multi-constrained frequency and PCI optimization iterative model based on genetic algorithm. The two-dimensional vector coding is used to represent the frequency and the individual of the PCI allocation scheme. The weight matrix is constructed by taking into account the sub-goal importance preference. PCI optimization problem into a number of single-objective optimization problems to solve the problem, the weighted sum of the various sub-goals as the ultimate goal of the problem. The principle of gene coding is fully exploited from the frequency and PCI two dimensions to simplify the design without loss of practicability. The initial process of the individual population guarantees the partial allocation of the original scheme and the random factor, The rationality and diversity of the initial genes of the individual population; the design of various evolutionary operators also have their own advantages, the selection operator will refer to the individual fitness value of the individual to choose, is conducive to the evolution of winning individuals,crossover operator In order to guarantee the diversity of individual genes,we introduce the mutation probability self-adaptive population evolution design, and improve the optimization of the genetic algorithm, which is different from the traditional one-point crossover to the new two-variable interval crossover. Solving power and convergence speed. Finally,the genetic operators, evolutionary operators, frequency, PCI iterations are used to optimize the elitist set and score each elite, and finally select the reasonable allocation scheme.Based on the above model, the LTE network frequency and PCI optimization system are developed with C # language and SQL Server database under .NET4.0 platform. Using this system to optimize the verification of LTE data of a city in the north of China, the optimization scheme can effectively improve the performance indexes of the existing network and achieve good results. The results show that the system can get the optimal solution of the problem in a short time and satisfy the multi - objective frequency and PCI optimal configuration scheme.The above research proves that the MOGA-based LTE network frequency PCI optimization technology can solve the multi-objective and multi-constraint problem of LTE network frequency and PCI optimization problem, and provide high-quality optimized configuration scheme with good application value.