To solve the coverage and quality problems caused by cell outage in LTE networks, this paper proposes a distributed self-organizing networks management architecture and a distributed cell outage compensation managemen...To solve the coverage and quality problems caused by cell outage in LTE networks, this paper proposes a distributed self-organizing networks management architecture and a distributed cell outage compensation management mechanism. After detecting and analyzing the outage, a cell outage compensation algorithm based on reference signal power adjustment is proposed. The simulation results show that the proposed mechanism can mitigate the performance degradation significantly. Compared with other algorithms, the proposed scheme is more effective in compensating the coverage gap induced by cell outage展开更多
In order to improve the efficiency of automatic management and self-healing of the self-organizing network(SON),a cell outage problem is investigated and a cooperative prediction-based automatic cell outage detection ...In order to improve the efficiency of automatic management and self-healing of the self-organizing network(SON),a cell outage problem is investigated and a cooperative prediction-based automatic cell outage detection algorithm is proposed.By the improved collaborative filtering prediction algorithm,the location correlation of users in the wireless network is considered.By incorporating the cooperative grey model prediction algorithm,the time correlation of users motion trajectory is also introduced.Data of users in a normal scenario is simulated and collected for model training and threshold calculating and the outage cell can be effectively detected using the proposed approach.The simulation results demonstrate that the proposed scheme has a higher detection rate for different extents of outage while ensuring the lower communication overhead and false alarm rate than traditional outage detection methods.The detection rate of the proposed approach outperforms the traditional method by around 14%,especially when there are sparse users in the network,and it is able to detect the outage cell with no active users with the help of neighbor cells.展开更多
Cell outage compensation(COC) is a self-healing function of the self-organizing networks(SONs) concept for mobile wireless networks. In order to compensate the outage cell autonomously, this paper drives a solution fo...Cell outage compensation(COC) is a self-healing function of the self-organizing networks(SONs) concept for mobile wireless networks. In order to compensate the outage cell autonomously, this paper drives a solution for COC. This method is based on coordinated multiple points(Co MP) transmission and tilt adjusting. Firstly, the paper takes the coordinated pattern and tilt as the optimization objects. Then, it defines the rational objectives and the evaluation function of the situation and analysis the optimization model. Finally, based on the effective genetic algorithm(GA), the compensation mechanism is proposed. Simulation results show that this solution is better than the elder solutions in terms of coverage, interference, and throughput.展开更多
文摘To solve the coverage and quality problems caused by cell outage in LTE networks, this paper proposes a distributed self-organizing networks management architecture and a distributed cell outage compensation management mechanism. After detecting and analyzing the outage, a cell outage compensation algorithm based on reference signal power adjustment is proposed. The simulation results show that the proposed mechanism can mitigate the performance degradation significantly. Compared with other algorithms, the proposed scheme is more effective in compensating the coverage gap induced by cell outage
基金The National Natural Science Foundation of China(No.61571123,61521061)the Research Fund of National Mobile Communications Research Laboratory of Southeast University(No.2018A03,2019A03)+1 种基金the National Major Science and Technology Project(No.2017ZX03001002-004)the 333 Program of Jiangsu Province(No.BRA2017366)
文摘In order to improve the efficiency of automatic management and self-healing of the self-organizing network(SON),a cell outage problem is investigated and a cooperative prediction-based automatic cell outage detection algorithm is proposed.By the improved collaborative filtering prediction algorithm,the location correlation of users in the wireless network is considered.By incorporating the cooperative grey model prediction algorithm,the time correlation of users motion trajectory is also introduced.Data of users in a normal scenario is simulated and collected for model training and threshold calculating and the outage cell can be effectively detected using the proposed approach.The simulation results demonstrate that the proposed scheme has a higher detection rate for different extents of outage while ensuring the lower communication overhead and false alarm rate than traditional outage detection methods.The detection rate of the proposed approach outperforms the traditional method by around 14%,especially when there are sparse users in the network,and it is able to detect the outage cell with no active users with the help of neighbor cells.
基金supported by National Natural Science Foundation of China(61271187)the Hi-Tech Research and Development Program of China(2014AA01A701) and BUPT2014RC1104
文摘Cell outage compensation(COC) is a self-healing function of the self-organizing networks(SONs) concept for mobile wireless networks. In order to compensate the outage cell autonomously, this paper drives a solution for COC. This method is based on coordinated multiple points(Co MP) transmission and tilt adjusting. Firstly, the paper takes the coordinated pattern and tilt as the optimization objects. Then, it defines the rational objectives and the evaluation function of the situation and analysis the optimization model. Finally, based on the effective genetic algorithm(GA), the compensation mechanism is proposed. Simulation results show that this solution is better than the elder solutions in terms of coverage, interference, and throughput.