【摘要】：小區(qū)間動(dòng)態(tài)負(fù)載均衡算法的優(yōu)劣對(duì)網(wǎng)絡(luò)性能有很大的影響,現(xiàn)有算法大都顧此失彼,難以保證網(wǎng)絡(luò)關(guān)鍵性能指標(biāo)(如呼叫阻塞率等)達(dá)到最佳。為解決這個(gè)問題,該文將負(fù)載均衡問題建模為多目標(biāo)優(yōu)化問題,分別對(duì)不同服務(wù)質(zhì)量要求用戶建模其相應(yīng)目標(biāo)優(yōu)化函數(shù),對(duì)有服務(wù)質(zhì)量要求用戶的目標(biāo)函數(shù)是負(fù)載均衡指示函數(shù)和網(wǎng)絡(luò)平均負(fù)載函數(shù)的聯(lián)合優(yōu)化函數(shù),而對(duì)沒有服務(wù)質(zhì)量要求用戶(BE用戶)的目標(biāo)函數(shù)是所有BE用戶吞吐量的總效用函數(shù),并將小區(qū)可用資源數(shù)和用戶服務(wù)質(zhì)量要求作為約束條件。另外,考慮到在實(shí)際系統(tǒng)中運(yùn)行的計(jì)算復(fù)雜度問題,提出一種復(fù)雜度較低的分布式負(fù)載均衡算法。包括資源調(diào)度策略,用戶切換條件和呼叫接入控制。仿真結(jié)果表明,該文算法可達(dá)到較好的負(fù)載均衡效果,能有效降低有服務(wù)質(zhì)量要求用戶的呼叫阻塞率,提高網(wǎng)絡(luò)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(xué)電子與信息學(xué)院;中國電子科技集團(tuán)公司第七研究所;
【基金】：國家863計(jì)劃項(xiàng)目(2012AA050801) 國家自然科學(xué)基金(61340035)資助課題
【分類號(hào)】：TN929.5

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