Research On Resource Allocation Algorithm In LTE-Advanced Two-Tier Networks

Around the world, due to the substitution of mobile communication for fixed communication, mobile business is booming and the fixed voice services is declining gradually in stark contrast. According to a recent survey, about60percent of voice services and90percent of data services are occurred in the indoor. Although the LTE-Advanced (Long Term Evolution Advanced) network can provide good voice, video and high speed data services, about30%of enterprises and45%of households are faced with the problem of poor indoor coverage. Femtocells have been proposed as a valid solution to deal with the above-mentioned issues for LTE-A network indoor coverage problems.After introducing femtocell networks to the traditional macrocell networks, then a new two layer network is formed. This paper undertook an in-depth study of femtocells in LTE-A two layer network technologies. First, technologies which is related to LTE-A were introduced, and highlights the related technology of femtocell base station. Then, according to the3GPP standards, we build a system level simulation platform of LTE-A two layer network, and we can verify subsequent the proposed algorithms based on the simulation platform. Next, according to the interference scenario of LTE-A two layer networks, we propose two resource allocation algorithms, which are spectrum resource allocation algorithm based on coloring and clustering (GCRA) and resource allocation algorithm based on coalitional formation game (DA-CFGRA). And we verify these two algorithms by simulation platform. Simulation results show that the first algorithm can mitigate the interference between femtocells, improve throughput and fairness of the users and spectral efficiency of the network systems through a graph-based clustering resource allocation. The second algorithm uses a distributed resource allocation algorithm based on cooperative game, takes advantage of the self-organization of femtocell, femtocell will select the current best partner for cooperation. Thereby, interference is reduced while user throughput and network capacity is improved.