Simulation And Improvement Of OFDM System Resource Allocation Algorithm Based On LTE

With the improvement of people’s living standard and the development in science and technology, the wireless communication business is playing a more important role in people’s daily life. The contradiction between the limited wireless resource and the users’ growing mobile business needs is becoming more and more serious. Just under such a background, as the core of the LTE project, OFDM has become a research hotspot. OFDM is an effective way to support high data rate, confront multipath interference, and significantly improve the utilization of bandwidth.This paper studies the algorithm for speed adaptation resource dynamic allocation of multi-user OFDM system. Under the constraint of total system power and BER, allot subcarrier and power to achieve the maximization of system capacity. Therefore, this paper analyzes some classical algorithms such as Chow, Wong and Shen. At the same time, simulation verification has been done. Focusing on this optimization goal, this paper proposed an idea that subcarrier allocation by PSO is based on switching sequence. Because TPLPSO can improve the standard PSO algorithm performance, which always fall into local extremum, this paper brings in the teaching and peer-learning particle swarm optimization to achieve power allocation process.The proposed scheme is completed by MATLAB, by adopting the two simulation scenarios and comparing with Wong’s algorithm and standard particle swarm optimization algorithm. The results show that the proposed scheme is possible to balance the user’s fairness and system performance, it can also meet the communication requirements of different users.