About This Part
The Huawei RTN XMC series Outdoor Unit (ODU) is a critical component in microwave transmission systems, designed for robust outdoor deployment. This ODU is responsible for converting baseband signals into radio frequency (RF) signals for transmission and vice-versa for reception, forming the backbone of wireless communication links. Typically mounted on towers or rooftops, these units are essential for high-capacity wireless backhaul, connecting base stations, data centers, or enterprise locations over distances where fiber optic deployment may be impractical or cost-prohibitive. The 15 GHz frequency band, in which this unit operates, is commonly utilized for medium-to-long distance links, offering a balanced combination of capacity and propagation characteristics suitable for diverse network architectures. This specific unit, identified as model X153HA, operates within the 15 GHz frequency band and supports horizontal (H) polarization, making it suitable for various "High site" deployments. The product listing indicates support for multiple operating frequencies such as 14893MHz, 15358MHz, 14400MHz, 14942MHz, and 15257MHz, alongside various channel spacings including 315MHz, 475MHz, and 728MHz within Sub Band A. The inclusion of a WR-62 waveguide interface ensures compatibility with standard antenna systems for this frequency range. Huawei RTN XMC series ODUs are recognized for their reliable performance, durability, and seamless integration into comprehensive microwave solutions. Revo Distribution Limited, as a B2B supplier, offers used and refurbished Huawei RTN XMC ODUs like the 52414177 to support telecommunication network operators and service providers globally. These units provide a cost-effective solution for expanding, upgrading, or maintaining existing microwave infrastructure without compromising on performance. By supplying quality-assured equipment, Revo enables clients to efficiently acquire critical telecom and networking components, ensuring their data center and network operations remain robust and scalable.
