[London, UK, February 21, 2019] Huawei has released a series of solutions for autonomous driving mobile networks at a pre-MWC 2019 briefing in London, facilitating network construction in the 5G era.

In the past year, several global operators have initiated their 5G deployment plans. The development speed of 5G is beyond the market’s imagination. The number of 3G and 4G users around the globe reached 500 million within ten and five years, respectively. It is estimated that 5G will take only three years to reach 500 million users. This is the first time in the mobile communications industry that the system equipment and terminals grow and mature at the same time.

The major concerns operators have raised in relation to the launch of 5G networks are increasing network complexity and rising OPEX. To help operators cope with these challenges, Huawei is launching a series of solutions for autonomous driving mobile networks, including the MBB Automation Engine (MAE) and BTS5900 series base stations with powerful computing capability. These products can help operators achieve automation in all scenarios, reduce OPEX, and accelerate 5G construction by providing optimal O&M efficiency, resource efficiency, energy saving efficiency, and superior user experience.

As the brain of mobile networks, the MAE is the management and control engine that implements wireless network automation. The MAE enables a shift from network element-oriented O&M to scenario-oriented O&M, migrating from a simple network management framework to a convergence of network management and control. Based on the cloud data platform, powerful network prediction and reasoning capabilities, the MAE provides various scenario-oriented solutions appropriate to needs of an operators' network deployment, maintenance, optimization, and service provisioning. The MAE also realizes the end-to-end closed-loop automation of each process.

This series of solutions also includes BTS5900 series base stations with improved computing capability of 8 T FLOPS, which supports the automation of wireless networks. These product features both accurate radio resource management and powerful computing, to help realize scenario-specific automated management and control.

In the 5G era, with a faster bit-rate growth of MBB networks, base stations need to manage radio resources more accurately and maximize resource utilization. Taking channel status management as an example, description factors of the channel status are added. Channel change trends can be matched and predicted in real time. Thus, the channel can be adjusted to use the proper codec rate promptly.

Since the radio resource status managed by the base station changes every 0.1 ms, accurate management and calculation need to be completed in a very short time. The shorter the processing time, the greater the required computing capability. Therefore, strong computing is required to support accurate management.

Multi-layer collaboration between the MAE and BTS5900 series base stations with more powerful computing capability, enables automation in all scenarios, improving the O&M efficiency by 10 times, improving user experienced data rate by 30%, and saving energy consumption by 30%.