Dynamic Resourcem Allocation Method Of TD-LTE System Research

TD-LTE is a smooth transition from3G to4G, it takes Orthogonal frequency division multiplexing (OFDM) as key technology. OFDM is a promising technique, It can provide high capacity in a wireless environment, the inter-cell interference also can be reduced to the desired level. Using the dynamic resource allocation method in the system allocate time slots, subcarriers and power. Compared to using a static resource allocation method, both flexible and efficient, has brought the system a lot of spectrum efficiency. Accordingly, the allocation of radio resources of the TD-LTE system is also more and more urgent.Most of the domestic algorithm is to learn from some of the OFDM system algorithm for scheduling and allocation of resources, The several algorithms OFDM system resource allocation famous greedy algorithm, Campello, Piazzo, the Krongold algorithm and sub-optimal Jang algorithm, Multi-user OFDM system resource allocation have Wong, max-min and Zhao algorithm, etc. These algorithms provide us with a good platform to the next study better algorithm. The TDD fourth generation mobile communication system has its unique characteristics, we can’t directly use those algorithms.In order to reflect the advantage of TD-LTE system throughput, within the framework of the protocol allows,3GPP recommend the use of10MHz and20MHz bandwidth to the actual product development and network deployment. This means that, due to the limited frequency resources and equipment capacity of TD-LTE, at least initially, will be most likely to carry out same frequency network. TD-LTE with frequency network has the advantages of high spectrum efficiency, deployment flexibility, supported by the terminal band of low demand and low complexity of the terminal RF channel, has been widely used in the large-scale trial network, but the networking also cause a lot of co-channel interference between neighboring cells, impact on the overall capacity of the cell seriously, in particular the edge of cell user identifying.In order to solve the adjacent cells in the TD-LTE system with frequency interference problems, this paper presents a power allocation algorithm based on non-cooperative game. In the LTE downlink, utilize pricing mechanism in non-cooperative game theory modeling power allocation of the multi-cell OFDMA system. Set the user’s data rate ratio as pricing factors, and set the variance function of the power as the objective function. Genetic algorithm is used to obtain the optimal solution. Simulation results show that the co-channel interference is reduced maximally, both the QoS of user and the throughput of system are considered in our proposed algorithm. Comparing with the traditional water filling algorithm, the user can obtain more throughput, when the number of user increasing. It is suitable for the crowded user areas, utilize evolutionary algorithm for solving.The subject uses game theory modeling method to model the problem, considering the time slot, the subcarrier, bit and power factors, and to improve the fairness among users on the basis of the protection system capacity. For a multi-cell multi-user OFDM system, first allocate subcarriers in each cell between the users using the proportional fair algorithm, then model among users in different cells of the same frequency channel allocation. The study of the subject, not only provide a method for China’s mobile communication network planning optimization of radio resource management, but also save resources greatly and improve the performance of communication systems, bring operators more benefits.