以数字技术为主导的新一轮科技革命加速演进,数字中国战略升级,千行百业逐渐进入数字化转型深水区.分析了数字化转型的历史必然性、本质核心与演进路径.在此基础上,提出通信运营商的数据、算力、算法及应用场景这四大要素,从而实现数字时代的生产资料价值释放、生产力激发以及生产关系重构.分别基于以数智技术驱动通信运营商企业本身的降本增效以及赋能垂直行业智慧变革2个应用场景,探讨通信运营商如何践行数字化转型中的"转型者"和"赋能者"双重使命,为推动科技工作与国家经济社会发展深度融合贡献力量.

Driven by the proliferation of data traffic and requirement of user experience improvement, mobile wireless network is evolving towards heterogeneous networks (HetNet). The telecom operator is experiencing unprecedented challenges on service maintenance and operational expenditure, which drives the demand for realizing automation in current heterogeneous networks. Cell outage detection is a functionality aiming to automatically detect and locate outages that occur in radio networks due to unexpected failures. Our work presents an automated cell outage detection mechanism in heterogeneous networks in which a clustering algorithm named Dynamic Affinity Propagation (DAP) is introduced. Minimization of drive test (MDT) measurements are collected and dimensionality reduced during regular operation and then fed into the clustering algorithm to find anomaly cells. The proposed mechanism has been implemented in the HetNet simulation environment, through which we have successfully detected the configured cell outages and located the specific outage areas.

HSUPA is the WCDMA evolution stage, provides users with higher and faster business experience. At the same time, a new multiple public control channel for the RNC fast wireless resource scheduling is increased. For the downlink system, as code resources are limited, it needs to combine equipment admission control and other counter on HSUPA to evaluate control chan-nel configuration. It introduces counter data and parameter configuration. Based on the above, it evaluates HSUPA control channel, verifies the reasonable channel configuration optimization of network performance and user perception.

It analyzes current network data, and concludes that the increasing of smal traffic service brings the increasing of RRC con-necting time, the consumption of function resource also increased. Data service re-transmitting impacts on resource efficien-cy, the higher the re-transmitting rate, the lower the power efficiency. Based on the above, it presents new WCDMA radio re-source utilization rate calculation method to increase the impacts of signal ing overhead and data re-transmitting. Final y, it ana-lyzes the relation of user rate, radio resource utilization rate and user number, to provide suggestions on WCDMA network sim-ple extension standards.