Adaptive Resources Allocation Algorithm Of Long Term Evolution-Advanced Communication System Based On Particle Swarm Optimization

As the increasing users'requirement of high-speed multimedia services and the accelerated integration mobile network into Internet, broadband communication system is needed badly. The 3rd Generation Partnership Project proposed LTE-Advanced based on the 3G communication system and LTE (Long Term Evolution) system for users'requirement. LTE-Advanced has been identified as a new generation international mobile communication standards by ITU (International Telecommunication Union). This standard aims to get higher transmission rate, lower system response delay and more system capacity than LTE system.To overcome the time-varying and frequency selective fading problem, LTE-Advanced communication system use adaptive resource allocation technique which can freely allocate the subcarrier to avoid the serious damage channel and improve the quality of communication and availability of frequency spectrum. So the main research in this thesis adaptive resource allocation algorithm of LTE-Advanced communication system.How to find an optimal resource allocation scheme in practical scenarios and services is a NP-hard problem that cannot be solved in polynomial time. So how to find suboptimal allocation scheme within the time allowed by communication system is a key point in adaptive resource allocation technique. Basing on the particle swarm optimization, all the study in this thesis on adaptive resource allocation of LTE-Advanced communication system as follows:First of all, we introduce the background and evolution target of LTE/LTE-Advanced communication system. And discuss adaptive resource allocation in LTE/LET-Advanced communication system for increasing the availability of frequency spectrum.Secondly, we introduce the mathematical modeling of adaptive resource allocation. And simplify this mathematical modeling by objective function and penalty function design. This simplification turn adaptive resource allocation problem into optimization problems. Then introduce particle swarm optimization and modified it by adding crossover and mutation process.Thirdly, by discussing the mathematical modeling of adaptive resource allocation problem in LTE system, we proposed an adaptive resource allocation algorithm of LTE system based on modified PSO. And this algorithm can deal with the adaptive resource allocation problem in different scenarios and services.Fourthly, considering the carrier aggregation technique of LTE-Advanced and basing on the conclusions of LTE system, we proposed a adaptive resource allocation algorithm of LTE-Advanced system. And in component carrier allocation part, divide the component carrier allocation into two steps that improves both the convergence rate and quality of the allocation scheme.Fifthly, in order to lower the time complexity, we proposed a LTE-Advanced adaptive resource allocation algorithm based on fixed algorithm. Comparing with PSO allocation algorithm, this allocation algorithm sacrifices part of the quality of resource allocation scheme for lower time complexity.At last, we design a demonstration system for these adaptive resource allocation algorithms of LTE-Advanced communication system. This demonstration system can freely set topology of users and parameters of allocation algorithms, and switch allocation algorithm in PSO based algorithm and fixed subcarrier exchange based algorithm by system's requirement.