China Telecom Picks Huawei Blade OTN to Build 5G-oriented C-RAN Fronthaul Network

China Telecom Picks Huawei Blade OTN to Build 5G-oriented C-RAN Fronthaul Network Image Credit: Huawei

Huawei announced that China Telecom (Liaoning) has selected its Blade optical transport network (OTN) solution in building a 5G-oriented cloud radio access network (C-RAN) fronthaul network. 

These fronthaul networks will enable Liaoning Telecom to effectively cope with denser site deployment requirements in the future 5G era in addition to further improving the existing 4G network coverage.

As a result, Liaoning Telecom can greatly improve users' access bandwidth and user experience of mobile broadband access. To meet the ever-increasing user experience requirements of mobile broadband, Liaoning Telecom implemented the comprehensive coverage of e-Surfing 4G+ networks. 

It has been gradually adopting C-RAN architecture to cope with difficulties in site acquisition and energy consumption. However, because C-RAN network architecture consumes a large amount of fiber resources at the access layer, there will be a severe shortage of fiber resources in the coming 5G era due to the requirement of denser site deployment. Liaoning Telecom is in urgent need of a new solution that will allow it to conserve fiber resources and quickly improve wireless network coverage.

As the sub-solution of the X-Haul solution, Blade OTN is fronthaul-oriented and can effectively meet Liaoning Telecom's network deployment requirements, said Huawei.

Blade OTN uses Huawei's Turbo WDM Technology to achieve the industry's largest 100G bandwidth using 10G optical components. 

According to Huawei, the optimal intelligent design of this solution eliminates wavelength planning, automatically provisions services upon power-on, and remotely locates faults, meeting the rapid network deployment and automatic O&M requirements of C-RAN fronthaul networks.

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at), or reach him on LinkedIn @raysharma10, Facebook @1RaySharma


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