Energy and network coverage are emerging as two critical factors in social development, to bring more people into the connected economy, says Huawei.
In a statement on Tuesday made available to Financial Street, Huawei stressed that these were vital to business success within the information and communication technology sector.
It said the opportunities for using telecoms sites as power resources were becoming particularly attractive in countries with unstable grid conditions.
“Huawei’s new energy Multiple Input Multiple Output platform aims to address these needs while saving operating costs and enhancing efficiencies,” it said.
“We can’t be doing the same thing we’ve been doing for the past 15 years in energy, and expect a better energy saving. We need to rethink, and change from supply and install only, to innovate, design, deploy and measure savings,” the company quoted the Group Chief Executive Officer of Distributed Power Africa, Norman Moyo, to have said.
Highlighting the eMIMO benefits, Huawei said, “As networks evolve and new sites are established, digital site management is becoming a global trend, especially in Africa, where significant cost savings are possible.
“The eMIMO integrated operations support system helps improve network visibility and can help identify energy efficiencies everywhere from component up to site level – therefore helping to make the most of the investment in the site.
“Secondly, remote operations and maintenance helps to further reduce costs with less need for site visits and improved power availability, which is the most important consideration for any reliable network.”
According to the company, the site’s power system consists of a rectifier, controller, battery, diesel generator and monitoring systems, which are traditionally sourced from different suppliers.
“The new, integrated, Artificial Intelligence-driven Huawei solution provides all components for cost-savings and guaranteed compatibility.
“Sites using third-party systems without an OSS risk communications glitches between systems, inefficient operations and poor returns on the equipment investment.
“An integrated, AI-driven solution with mutual collaboration can help achieve a simplified, intelligent and green energy network,” it further explained.
