LTE網絡中多目標優(yōu)化的動態(tài)負載均衡算法
發(fā)布時間:2019-03-04 10:41
【摘要】:小區(qū)間動態(tài)負載均衡算法的優(yōu)劣對網絡性能有很大的影響,現有算法大都顧此失彼,難以保證網絡關鍵性能指標(如呼叫阻塞率等)達到最佳。為解決這個問題,該文將負載均衡問題建模為多目標優(yōu)化問題,分別對不同服務質量要求用戶建模其相應目標優(yōu)化函數,對有服務質量要求用戶的目標函數是負載均衡指示函數和網絡平均負載函數的聯合優(yōu)化函數,而對沒有服務質量要求用戶(BE用戶)的目標函數是所有BE用戶吞吐量的總效用函數,并將小區(qū)可用資源數和用戶服務質量要求作為約束條件。另外,考慮到在實際系統(tǒng)中運行的計算復雜度問題,提出一種復雜度較低的分布式負載均衡算法。包括資源調度策略,用戶切換條件和呼叫接入控制。仿真結果表明,該文算法可達到較好的負載均衡效果,能有效降低有服務質量要求用戶的呼叫阻塞率,提高網絡資源利用率。
[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.
【作者單位】: 華南理工大學電子與信息學院;中國電子科技集團公司第七研究所;
【基金】:國家863計劃項目(2012AA050801) 國家自然科學基金(61340035)資助課題
【分類號】: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.
【作者單位】: 華南理工大學電子與信息學院;中國電子科技集團公司第七研究所;
【基金】:國家863計劃項目(2012AA050801) 國家自然科學基金(61340035)資助課題
【分類號】:TN929.5
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