異構(gòu)無線網(wǎng)絡(luò)中的SON用例之間的協(xié)同管理研究
發(fā)布時(shí)間:2019-02-17 13:18
【摘要】:在異構(gòu)無線網(wǎng)絡(luò)中,逐步呈現(xiàn)出新特性,如異構(gòu)性、復(fù)雜性、動(dòng)態(tài)性以及開放性等,從而使得用戶對無線網(wǎng)絡(luò)所提供的服務(wù)質(zhì)量QoS(Quality of Service)更加敏感,異構(gòu)網(wǎng)絡(luò)必須動(dòng)態(tài)地適應(yīng)用戶的業(yè)務(wù)需求,才能夠保證良好的用戶體驗(yàn)。傳統(tǒng)方法對網(wǎng)絡(luò)進(jìn)行優(yōu)化及故障治愈將增大運(yùn)營開銷,為了使網(wǎng)絡(luò)配置、自主優(yōu)化的流程更加智能,從而部署為快速動(dòng)態(tài)調(diào)整、高效運(yùn)維的異構(gòu)無線網(wǎng)絡(luò),SON(Self-Organized Network)概念被引入LTE網(wǎng)絡(luò)中。自組織網(wǎng)絡(luò)SON可以自主操作,控制和優(yōu)化管理網(wǎng)絡(luò),設(shè)計(jì)一種自組織管理的網(wǎng)絡(luò)運(yùn)維機(jī)制已經(jīng)成為未來異構(gòu)網(wǎng)絡(luò)研究的熱點(diǎn)問題。然而,不同的SON功能用例間存在關(guān)聯(lián),當(dāng)根據(jù)不同的優(yōu)化目標(biāo)進(jìn)行優(yōu)化時(shí),SON功能之間產(chǎn)生沖突,從而影響網(wǎng)絡(luò)性能,因此合理協(xié)調(diào)各個(gè)SON功能用例,進(jìn)行沖突避免,從而實(shí)現(xiàn)多個(gè)SON功能的一致性管理和協(xié)同管理,有效改善網(wǎng)絡(luò)性能是當(dāng)前重要的研究內(nèi)容。本文主要研究異構(gòu)無線網(wǎng)絡(luò)中,根據(jù)關(guān)鍵性績效指標(biāo)KPI(Key Performance Indicators),研究多個(gè)SON功能用例間的沖突避免及協(xié)同性管理,優(yōu)化網(wǎng)絡(luò)性能。首先,基于邏輯回歸理論研究了網(wǎng)絡(luò)中的關(guān)鍵性指標(biāo)KPI與無線網(wǎng)絡(luò)資源管理參數(shù)RRM(Radio Resource Management)之間的關(guān)系,構(gòu)建了KPI-RRM映射模型,為SON用例優(yōu)化提供優(yōu)化基礎(chǔ)準(zhǔn)則。通過動(dòng)態(tài)調(diào)整RRM參數(shù),運(yùn)行對應(yīng)的SON功能,使網(wǎng)絡(luò)達(dá)到指定的KPI指標(biāo),或者根據(jù)特定的RRM參數(shù),反向調(diào)整KPI指標(biāo),滿足網(wǎng)絡(luò)運(yùn)維需求。文章進(jìn)一步研究了同一時(shí)間尺度下的多個(gè)SON功能用例沖突避免問題,重點(diǎn)分析了移動(dòng)負(fù)載均衡和移動(dòng)魯棒性優(yōu)化兩個(gè)SON功能間的沖突解決策略。最后,提出了多時(shí)間尺度下的多個(gè)SON功能協(xié)同管理機(jī)制從而實(shí)現(xiàn)網(wǎng)絡(luò)節(jié)能的優(yōu)化策略,通過對異構(gòu)網(wǎng)絡(luò)中的基站運(yùn)行協(xié)同合作機(jī)制,將網(wǎng)絡(luò)節(jié)能問題分解成基站模式組合優(yōu)化和網(wǎng)絡(luò)負(fù)載均衡兩個(gè)子問題求解,動(dòng)態(tài)地對異構(gòu)網(wǎng)絡(luò)進(jìn)行調(diào)整,控制網(wǎng)絡(luò)中基站的開啟和關(guān)閉,減少能耗,提升能量利用效率,實(shí)現(xiàn)網(wǎng)絡(luò)節(jié)能。在本文中,通過實(shí)時(shí)檢測網(wǎng)絡(luò)狀況(如網(wǎng)絡(luò)負(fù)載)及相應(yīng)關(guān)鍵性技術(shù)指標(biāo)KPI(掉話率、阻塞率等),運(yùn)行相應(yīng)的優(yōu)化機(jī)制,從而實(shí)現(xiàn)網(wǎng)絡(luò)優(yōu)化。
[Abstract]:In heterogeneous wireless networks, new features are gradually presented, such as heterogeneity, complexity, dynamics and openness, which makes users more sensitive to the quality of service (QoS (Quality of Service) provided by wireless networks. In order to ensure a good user experience, heterogeneous networks must dynamically adapt to the business needs of users. The traditional method of network optimization and fault cure will increase the operation cost, in order to make the network configuration, the process of self-optimization is more intelligent, so it can be deployed to the heterogeneous wireless network with fast dynamic adjustment and efficient operation and maintenance. The concept of SON (Self-Organized Network) is introduced into LTE networks. The self-organizing network (SON) can operate, control and optimize the network independently. The design of a self-organized network operation and maintenance mechanism has become a hot issue in the future heterogeneous network research. However, there are correlations among different SON function cases. When the SON function is optimized according to different optimization objectives, there will be conflicts between the SON functions, which will affect the network performance. Therefore, each SON function case can be coordinated reasonably to avoid the conflicts. In order to realize the consistency management and collaborative management of multiple SON functions and effectively improve the network performance is an important research content at present. This paper mainly studies the conflict avoidance and collaborative management among multiple SON function cases according to the key performance index (KPI (Key Performance Indicators),) in heterogeneous wireless networks, and optimizes the network performance. Firstly, based on the logical regression theory, the relationship between KPI, a key parameter in the network, and the resource management parameter (RRM (Radio Resource Management) in wireless network is studied, and the KPI-RRM mapping model is constructed, which provides an optimization criterion for the optimization of SON use cases. By dynamically adjusting the RRM parameters and running the corresponding SON function, the network can reach the specified KPI index, or adjust the KPI index in reverse according to the specific RRM parameters to meet the network operation and maintenance requirements. In this paper, the conflict avoidance problem of multiple SON function cases at the same time scale is studied, and the conflict resolution strategies between mobile load balancing and mobile robustness optimization are analyzed. Finally, this paper proposes a multi-function cooperative management mechanism of SON in multi-time scale to realize the optimization strategy of network energy saving. By running the cooperative cooperation mechanism of base stations in heterogeneous networks, a cooperative mechanism is proposed in this paper. The problem of network energy saving is decomposed into two sub-problems: the combination optimization of base station mode and network load balance, and the dynamic adjustment of heterogeneous network is carried out to control the opening and closing of base station in the network, to reduce energy consumption, and to improve energy utilization efficiency. Realize network energy saving. In this paper, the network optimization is realized by real-time detecting the network condition (such as network load) and the corresponding key technical index, KPI (drop rate, blocking rate, etc.), and running the corresponding optimization mechanism.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN92
[Abstract]:In heterogeneous wireless networks, new features are gradually presented, such as heterogeneity, complexity, dynamics and openness, which makes users more sensitive to the quality of service (QoS (Quality of Service) provided by wireless networks. In order to ensure a good user experience, heterogeneous networks must dynamically adapt to the business needs of users. The traditional method of network optimization and fault cure will increase the operation cost, in order to make the network configuration, the process of self-optimization is more intelligent, so it can be deployed to the heterogeneous wireless network with fast dynamic adjustment and efficient operation and maintenance. The concept of SON (Self-Organized Network) is introduced into LTE networks. The self-organizing network (SON) can operate, control and optimize the network independently. The design of a self-organized network operation and maintenance mechanism has become a hot issue in the future heterogeneous network research. However, there are correlations among different SON function cases. When the SON function is optimized according to different optimization objectives, there will be conflicts between the SON functions, which will affect the network performance. Therefore, each SON function case can be coordinated reasonably to avoid the conflicts. In order to realize the consistency management and collaborative management of multiple SON functions and effectively improve the network performance is an important research content at present. This paper mainly studies the conflict avoidance and collaborative management among multiple SON function cases according to the key performance index (KPI (Key Performance Indicators),) in heterogeneous wireless networks, and optimizes the network performance. Firstly, based on the logical regression theory, the relationship between KPI, a key parameter in the network, and the resource management parameter (RRM (Radio Resource Management) in wireless network is studied, and the KPI-RRM mapping model is constructed, which provides an optimization criterion for the optimization of SON use cases. By dynamically adjusting the RRM parameters and running the corresponding SON function, the network can reach the specified KPI index, or adjust the KPI index in reverse according to the specific RRM parameters to meet the network operation and maintenance requirements. In this paper, the conflict avoidance problem of multiple SON function cases at the same time scale is studied, and the conflict resolution strategies between mobile load balancing and mobile robustness optimization are analyzed. Finally, this paper proposes a multi-function cooperative management mechanism of SON in multi-time scale to realize the optimization strategy of network energy saving. By running the cooperative cooperation mechanism of base stations in heterogeneous networks, a cooperative mechanism is proposed in this paper. The problem of network energy saving is decomposed into two sub-problems: the combination optimization of base station mode and network load balance, and the dynamic adjustment of heterogeneous network is carried out to control the opening and closing of base station in the network, to reduce energy consumption, and to improve energy utilization efficiency. Realize network energy saving. In this paper, the network optimization is realized by real-time detecting the network condition (such as network load) and the corresponding key technical index, KPI (drop rate, blocking rate, etc.), and running the corresponding optimization mechanism.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TN92
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