Research On The Optimization Of Inter-cell Interference Coordination Technique In TD-LTE Complex Scene

With the rapid development of wireless mobile communication technology,3GPP LTE becomes the leading standard of the Fourth generation Mobile telecommunication.The standard captures the global 4G market with high speed transmission speed,high loads and high spectral efficiency.Because spectrum resource is the scarce resources in mobile communications,LTE Adopts the same Frequency between neighboring cell to improve spectral efficiency.The method may cause the same-frequency interference between different cell easily,especially in the complex Scene such as the large convocation and high traffic,affecting the communication network and user experience.TD-LTE inter-cell interference suppression technology can effectively improve this situation and the technology has been widely applied in the future for the communication development.The technology for suppressing same frequency interference with neighboring cell can ameliorate this phenomenon effectively.The technology mainly includes inter-cell interference coordination,inter-cell interference cancellation,inter-cell interference randomization,and beamforming antenna technology.This essay mainly researches the optimization of the neighboring cell interference coordination technology.The technology from the resource allocation method to distinguish: partial frequency reuse,soft frequency use and full frequency reuse;from the resource allocation cycle to distinguish: static allocation、semi-static allocation,dynamic allocation and coordinated scheduling.Coming up with an interference coordination algorithm for semi-static cell base soft frequency,the algorithm combines the Proportional fairness algorithm and QoS Service delay threshold.At the same time,simulation experiments were performed on the improved algorithm.Based on the MATLAB platform and computer simulation theory experiments on the improved algorithm,the simulation results show that the improved algorithm compared to the previous algorithm analysis: In the continuous growth of the number of users in the coverage area,the edge user throughput,the central user throughput,and the average channel SINR index value are improved;the real-time service delay,non-real-time service delay,and the real-time service packet loss rate index value are reduced,including Delays of real-time and non-real-time services are both around 1ms,and packet loss rates are around 1%,the above theoretical experiments can verify the effectiveness of the improved algorithm.In the paper,the simulation results based on the improved algorithm are applied to the actual scene.The scenes all have features such as User-intensive in the area,users use the network frequently,diversification of user service load and complex wireless network environments.The statistical analysis of the network service indicators before and after the algorithm improvement in the scene: uplink throughput,downlink throughput,average RSRP,average SINR,average download rate,average upload rate,coverage rate,and QoS average service delay and so on: The uplink and downlink throughput,the average upload rate,the average download rate,and the coverage rate all have a certain degree of improvement.The average RSRP reference signal strength is increased.When the average SINR value is increased,the interference impact is significantly reduced,and the QoS average service delay value is reduced by 1.2 ms.The statistical analysis of the network performance indicators before and after the algorithm improvement in the scene: The statistics of wireless connection rate,wireless disconnection rate,handover success rate,RRC establishment success rate,RRC congestion,etc.are compared: The number of RRC congestion indicators decreases significantly,and the wireless connection rate,RRC establishment success rate,and handover success rate.Class indicators increased by about 1%,wireless drop rate indicators decreased by about 1.5%.The improved algorithm proved that it can effectively improve the network indicators in the area,reduce the impact of the same-frequency interference between neighboring cells on the network,and significantly improve the network quality.