一种基于Framework架构的智能化过覆盖分析工具的应用研究

采用Framework架构,自主开发工具,结合基础工参、全量客户TA分布和站间距,实现快速定位越区覆盖小区,形成越区覆盖问题小区库;另外通过链路预算和三角函数算法,实现分场景差异化的问题小区自动快速高效识别和更加精准的优化调整方案输出,准确输出下倾角调整方案,弥补了现有现场天馈调整优化缺少有效手段,需反复现场查勘调整的空缺,有效支撑地市一线生产,提高生产效率和缩小优化成本。     

基于5G分流的网络结构智能优化方法研究及实现

为解决5G网络建设初期由于站间距过大以及4G共站同覆盖下覆盖差异而导致的5G网络结构不合理的问题，本文对5G网络结构进行了深入研究，提出一种通过采用德洛内三角原理和天线权值优化等算法，引入MRO原始采样数据，工具自动化计算5G小区覆盖的实际距离和理想覆盖距离，针对差值较大的覆盖异常小区自动输出权值调整方案的方法，从而提高网络覆盖质量，持续提升5G网络深度覆盖水平。     

TD-SCDMA NodeB的自启动自适应组网

在现有的网络建设和优化中,基本是通过网络先期规划和RNC的设置来触发NodeB建立小区,并通过路测仪器人工十预的方式不断地测试网络性能,如网络覆盖等情况,多次反复调整网络参数进行网络性能优化,以达到网络性能满足应用需求,网络组网和网络优化的成本高,效率低.本文基于鼎桥公司NodeB的设计,提出了TD-SCDMA N0deB的自启动自适应组网和网络优化方案.NodeB可以根据E1/FE配置,实现NodeB在ATM和/或IP方式下的自启动,下载配置和软件;小区激活后,自动搜索相邻的小区,根据网络的业务模型设置,计算相邻小区的覆盖情况,并计算出本小区的最佳功率覆盖参数,达到网络最优覆盖配置并减少对周围小区的十扰.在整个网络运行期间,也可以触发网络中各小区检测周围的情况,输出区域内网络的性能参数.进行网络优化和网络监测.     

基于大数据挖掘的维优补位方案研究

随着5G建设规模的不断扩大,涉及的网络制式和设备类型也在不断增多,导致网络维护工作的难度进一步提升。发现问题再处理是针对网络中断实施的传统方式。随着5G复杂程度的上升,此方式不能较好地解决用户感知降低、突发抢修风险等问题。本文提出了一种基于大数据挖掘的维优补位方案,通过打通维护和优化平台的接口实现自动补位,针对覆盖属性退服站点,利用大数据挖掘方式输出最强TOP邻小区,并采用微区域邻小区功率抬升、电子倾角调整等手段弥补覆盖空洞、自动评估微区域感知水平,尽量降低用户感知损失,提升5G网络的整体稳定性。     

基于机器学习的自动负载均衡方法研究及应用

负载均衡是提升LTE网络容量能力的重要优化手段,由于LTE小区用户在时间上的波动性,常规的人工优化手段很难满足网络优化的需求。本文提出了一种基于机器学习XGBoost用户数预测的自动均衡方法和系统,通过XGBoost对LTE小区未来15 min的用户数量进行精准预测,并根据预测结果进行转移用户数计算,从而实现均衡门限的实时动态调整。该方法在网络应用中取得了良好的效果。     

移动通信覆盖自愈的研究与实现

为了提升移动通信网络服务可靠性,高效地实现无线网络自优化,提供了一种移动通信SON框架下基站退服后通过自动调整周边小区天线电子倾角实现覆盖自愈的方法,创新性地提出了关键采样点作为待弥补区域的覆盖目标的方法,同时定义了在最小化网络重叠覆盖度的前提下相邻小区倾角的调整方案.通过对现网基站的调整前后数据评估,取得良好的网络自...     

一种LTE容量自动分析及优化的方法设计

随着提速降费的政策落地,近年来LTE数据业务流量呈现连续快速增长,LTE高负荷小区数量不断增长,给用户体验带来了不良影响。为解决网络优化工作中处理高负荷小区主要依赖人工经验、处理效率低的问题,文章基于LTE容量问题处理的经验,研究了对引起容量问题的几种原因进行定界的方法,包括故障、过覆盖、负载均衡、容量不足等,并分析制定了相应的自动优化策略。通过该方法的实施可加快LTE高负荷小区的问题定位和流量疏导,提高日常优化效率。     

用户密集场景下FDD-LTE参数优化方案探究

针对中国电信4G用户密集场景网络特征,提出"一升、二降、三均衡"的创新参数优化思路,围绕提升小区承载用户数、降低信令负荷、动态用户均衡相结合,从三大方面、六个原则切入开展深入研究。通过大量理论分析和实践验证,提出一套可行有效的参数优化方案,挖掘4G网络潜在容量,缓解用户密集场景负荷压力,改善4G用户感知,为后续密集场景参数优化提供参考。     

LTE室分高负荷小区解决方案的研究

LTE室分小区高负荷直接影响室内4G终端的下载速率、接通率和掉线率等各项指标,从而导致客户感知急剧下降,而且由于室内无线环境的封闭性,室分小区之间的覆盖独立性,仅仅通过参数均衡的手段达到负荷降低的效果非常不明显,因此本文针对目前影响室内用户感知的高负荷问题,从高负荷小区的标准出发,提出各类降低室分小区负荷的方法,对室分小区高负荷问题进行分析、研究与解决,从而作为研究方法提供给LTE室内小区负荷均衡与优化相关指导意见。     

TD-LTE室分高负荷小区解决方案的研究

TD-LTE室分小区高负荷直接影响室内4G终端的下载速率、接通率和掉线率等各项指标,从而导致客户感知急剧下降,而且由于室内无线环境的封闭性,室分小区之间的覆盖独立性,仅仅通过参数均衡的手段达到负荷降低的效果非常不明显,因此本文针对目前影响室内用户感知的高负荷问题,从高负荷小区的标准出发,提出各类降低室分小区负荷的方法,对室分小区高负荷问题进行分析、研究与解决,从而作为研究方法提供给TD-LTE室内小区负荷均衡与优化相关指导意见.     

容量智能均衡关键技术研究及应用

为提升容量智能均衡优化能力,本文进行了容量智能均衡关键技术研究.研究方法是基于同覆盖扇区的垂直面智能均衡优化算法和基于小区相关度的水平面智能均衡优化算法.研究成果已经开展应用,对负载不均衡区域或无法调度区域进行业务分流.算法首先采用垂直面均衡优化,垂直面均衡无法解决的高负荷问题继续实施水平面均衡优化.通过应用验证,本项...     

LTE网络中多目标优化的动态负载均衡算法

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。     

Optimal joint utility based load balancing algorithm for heterogeneous wireless networks

The rapid development of mobile broadband services with continuously increasing traffic volumes has resulted in a number of challenges, including ubiquitous network coverage, high bandwidth, and reliable services for reasonable price, etc. To address these challenges, evolved packet system (EPS) is proposed as the evolution of the packet core network. While resource management and load balancing issues in EPS are discussed in 3GPP standardization, relatively few research works consider mechanism design for load information monitoring and evaluation. Furthermore, even though some load balancing algorithms have been proposed for integrated networks, the load balancing scheme design which achieves the optimization of joint system performance has not been extensively studied. In this paper, an inter-access system anchor based load balancing mechanism is introduced which performs load monitoring and evaluation for access gateways and networks, and an optimal load balancing algorithm is proposed for heterogeneous integrated networks. To characterize the performance of integrated networks, the concept of utility function is introduced and the comprehensive performance of integrated networks which support both single type service and multimedia service is modeled mathematically. Applying vertical handoff as an efficient mechanism for achieving load balancing, the optimal number of handoff users is obtained through solving the optimization problem. Numerical results demonstrate that load balancing between access networks can be achieved, and the optimal number of handoff users corresponding to the maximal joint network utility can be obtained.     

A distributed implementation of mobility load balancing with power control and cell reselection in 4G network

We consider a self‐organizing network (SON) capability of mobility load balancing in a 4G network, which determines the transmission power level for individual base stations and cell reselection for individual mobile stations such that the network‐wide load is minimized while satisfying the minimum signal‐to‐noise and interference ratio (SINR) requirement of individual users. Both centralized and distributed schemes are proposed. The centralized scheme is based on the greedy algorithm, serving as a performance bound to the distributed scheme. The distributed scheme is to solve the system‐wide optimization problem in the flat network model, i.e. no central control node. Furthermore, it requires relatively low inter‐cell exchange information among neighboring cells over an inter‐cell channel, e.g. X2 interface in the LTE network. The proposed design objective is to minimize the number of mobile users that do not satisfy the specified average throughput, while distributing the user traffic load as uniformly as possible among the neighboring cells. Our simulation results for a uniform user distribution demonstrate that the proposed scheme can achieve up to almost 80% of a load balancing gain that has been achieved by a greedy algorithm in the centralized optimization. Copyright © 2014 John Wiley & Sons, Ltd.     

基于负载均衡的MEH静态切换机制

对欧洲电信标准化协会（ETSI）提出的针对移动边缘主机（MEH）服务器的切换机制进行了补充和完善,提出了基于负载均衡的MEH静态切换机制。该机制通过将用户设备对应应用实例迁移到与其所属本地高负载服务器相邻的某个低负载服务器,实现了缓解原控制服务器处瓶颈效应、均衡网络节点间负载、优化信令平均等待时延的目的。分析和仿真结果表明,提出的静态切换机制能够在均衡网络负载和提升用户满意度方面对ETSI规范提供有效的补充和完善。     

Automatic handover control for distributed load balancing in mobile communication networks

In this paper, we propose an auto-tuning of mobility algorithm in the mobile communication systems as a load balancing self-optimization use case. This paper presents a distributed approach in which the traffic load can be balanced systematically by utilizing the effective load information of neighboring cells. The proposed load balancing scheme detects a load imbalance in the network and resolves the problem automatically by controlling the handover parameter as a nonlinear function of the load difference. Based on control theory, we analyze the adaptive behavior of the proposed controller and derive condition for system stability. Results from asymptotic analysis and simulation indicate that the proposed local controller of each individual cell effectively achieves the global properties, such that the load difference in the network is stabilized globally within a predetermined threshold. Extensive simulation results also show that the proposed scheme outperforms the existing methods by reducing call blocking rate of the overloaded cells.     

Multi mobile agent itinerary planning based on network coverage and multi-objective discrete social spider optimization algorithm

The multi mobile agent collaboration planning model was constructed based on the mobile agent load balancing and total network energy consumption index.In order to prolong the network lifetime,the network node dormancy mechanism based on WSN network coverage was put forward,using fewer worked nodes to meet the requirements of network coverage.According to the multi mobile agent collaborative planning technical features,the multi-objective discrete social spider optimization algorithm (MDSSO) with Pareto optimal solutions was designed.The interpolation learning and exchange variations particle updating strategy was redefined,and the optimal set size was adjusted dynamically,which helps to improve the accuracy of MDSSO.Simulation results show that the proposed algorithm can quickly give the WSN multi mobile agent path planning scheme,and compared with other schemes,the network total energy consumption has reduced by 15%,and the network lifetime has increased by 23%.     

Cell Planning in WCDMA Networks for Service Specific Coverage and Load Balancing

Third-generation (3G) Wideband Code Division Multiple Access network is an evolutionary network which supports services from circuit-based voice service to high and low rate packet-based data services. Unlike the voice oriented second-generation service, the 3G network is enhanced to support services with different data rate, different asymmetry, and different coverage. We thus need to investigate the coverage of multiple services and the capacity of a cell in cell planning for the advanced network. Service specific uplink coverage and downlink capacity with load balancing are considered in our cell planning. The problem is formulated as a linear integer programming optimization model. An efficient tabu search heuristic is developed to solve the NP-hard problem. Very promising computational results are demonstrated, where the solution gap from the optimal to the lower bound by CPLEX is within 0.9% in problems to cover all service traffic in the system. It is demonstrated that higher load factor effectively reduces cell sites for multiple service classes. Load balancing among cells is also demonstrated with different coverage ratio.     

基于微分进化的信息物理融合系统网关优化部署方法

为解决信息物理融合系统下无线传感器网络接入互联网的问题,该文提出一种基于微分进化的网关优化部署方法。该方法以最小化网关覆盖半径和负载平衡水平为优化目标,利用微分进化算法寻找网关优化部署方案,通过自适应反向搜索、动态参数调整等方法保障寻优过程的种群多样性,解决几何 中心下的网关部署问题。仿真实验结果表明,该方法具备良好的全局寻优能力和收敛速度,能够在缩小网关集覆盖半径的前提下,进一步平衡各网关之间的负载水平,提高信息物理融合系统的网络QoS水平。     

Cell Breathing Techniques for Load Balancing in Wireless LANs

Maximizing network throughput while providing fairness is one of the key challenges in wireless LANs (WLANs). This goal is typically achieved when the load of access points (APs) is balanced. Recent studies on operational WLANs, however, have shown that AP load is often substantially uneven. To alleviate such imbalance of load, several load balancing schemes have been proposed. These schemes commonly require proprietary software or hardware at the user side for controlling the user-AP association. In this paper we present a new load balancing technique by controlling the size of WLAN cells (i.e., AP's coverage range), which is conceptually similar to cell breathing in cellular networks. The proposed scheme does not require any modification to the users neither the IEEE 802.11 standard. It only requires the ability of dynamically changing the transmission power of the AP beacon messages. We develop a set of polynomial time algorithms that find the optimal beacon power settings which minimize the load of the most congested AP. We also consider the problem of network-wide min-max load balancing. Simulation results show that the performance of the proposed method is comparable with or superior to the best existing association-based methods.