Performance Analyses of Dynamic Channel Allocation in TDD-CDMA Communication System
|Course||Signal and Information Processing|
|Keywords||Dynamic channel allocation Power Control System capacity Slot interference|
In recent years, with the rapid increase of mobile communication users all kinds of non- voice services , people's attention by voice communications business steering multimedia services , more and more pressing requirements for high - speed data communication . The effective use of the limited frequency resource is currently an urgent need to solve the subject . This thesis TDD-CDMA system , dynamic channel allocation of resources technical study as the research object , that slot allocation related to the proportion of uplink and downlink time slots how flexibly allocated according to district business system resources better to meet the needs of the service request . Take into account the impact of the unique cross - slot interference in the TDD mode system , efforts to reduce the impact of cross- slot system capacity , and improve resource utilization. In the TDD-CDMA mobile communication system , the dynamic channel allocation (DCA) has been a research focus , dynamic channel allocation to allow more efficient use of spectrum resources and to avoid the high frequency planning process . On the other hand , the power of the mobile users is a very valuable resource , and is also one of the main factors of interference limited system limits the system capacity . Therefore, there is a need to study a different power control algorithm minimize system interference and power consumption of the user , in order to increase system capacity and prolong the life of the phone's standby . Although researchers have done a lot of research on the dynamic channel allocation and power control , but rarely with the base station allocation , call admission control and switching control combine research . This paper proposes a DCA algorithm based on the average power value by using the average power control algorithm of the power processing, and to avoid mutual interference between the base stations to improve system capacity . The simulation results show that the proposed algorithm can significantly improve the performance of the system .