LTE网络中多目标优化的动态负载均衡算法
发布时间：2019-03-04 10:41
【摘要】：小区间动态负载均衡算法的优劣对网络性能有很大的影响,现有算法大都顾此失彼,难以保证网络关键性能指标(如呼叫阻塞率等)达到最佳。为解决这个问题,该文将负载均衡问题建模为多目标优化问题,分别对不同服务质量要求用户建模其相应目标优化函数,对有服务质量要求用户的目标函数是负载均衡指示函数和网络平均负载函数的联合优化函数,而对没有服务质量要求用户(BE用户)的目标函数是所有BE用户吞吐量的总效用函数,并将小区可用资源数和用户服务质量要求作为约束条件。另外,考虑到在实际系统中运行的计算复杂度问题,提出一种复杂度较低的分布式负载均衡算法。包括资源调度策略,用户切换条件和呼叫接入控制。仿真结果表明,该文算法可达到较好的负载均衡效果,能有效降低有服务质量要求用户的呼叫阻塞率,提高网络资源利用率。
[Abstract]:The advantages and disadvantages of inter-cell dynamic load balancing algorithms have a great impact on the performance of the network. Most of the existing algorithms fail to ensure that the key performance indicators (such as call blocking rate) of the network reach the best. In order to solve this problem, the load balancing problem is modeled as a multi-objective optimization problem, and the corresponding objective optimization functions are modeled for different quality of service users. The objective function for users with quality of service is a joint optimization function of load balancing indicator function and network average load function. The objective function for users without quality of service (BE users) is the total utility function of the throughput of all BE users, and the number of resources available in the cell and the quality of service requirements of the users are considered as constraints. In addition, a low complexity distributed load balancing algorithm is proposed, considering the computational complexity of the system. It includes resource scheduling policy, user switching condition and call access control. The simulation results show that the proposed algorithm can achieve better load balancing effect, effectively reduce the call blocking rate of users with QoS requirements, and improve the utilization rate of network resources.
【作者单位】： 华南理工大学电子与信息学院;中国电子科技集团公司第七研究所;
【基金】：国家863计划项目(2012AA050801) 国家自然科学基金(61340035)资助课题
【分类号】：TN929.5
[Abstract]:The advantages and disadvantages of inter-cell dynamic load balancing algorithms have a great impact on the performance of the network. Most of the existing algorithms fail to ensure that the key performance indicators (such as call blocking rate) of the network reach the best. In order to solve this problem, the load balancing problem is modeled as a multi-objective optimization problem, and the corresponding objective optimization functions are modeled for different quality of service users. The objective function for users with quality of service is a joint optimization function of load balancing indicator function and network average load function. The objective function for users without quality of service (BE users) is the total utility function of the throughput of all BE users, and the number of resources available in the cell and the quality of service requirements of the users are considered as constraints. In addition, a low complexity distributed load balancing algorithm is proposed, considering the computational complexity of the system. It includes resource scheduling policy, user switching condition and call access control. The simulation results show that the proposed algorithm can achieve better load balancing effect, effectively reduce the call blocking rate of users with QoS requirements, and improve the utilization rate of network resources.
【作者单位】： 华南理工大学电子与信息学院;中国电子科技集团公司第七研究所;
【基金】：国家863计划项目(2012AA050801) 国家自然科学基金(61340035)资助课题
【分类号】：TN929.5
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