Wanchun Zhang, SVP of ZTE Corporation :
There is no doubt that 5G is under the spotlight now and the world’s tier-one operators are leading the 5G race with large-scale field trials and aggressive commercial deployment progress. Although 5G enables a promising future, it also presents some challenges. Operators’ decisions on when, where and how to deploy 5G are not only driven by the availability of 5G spectrum, but also application scenarios, site solution and business model factors. With the introduction of 5G, operators are also facing the challenge of long-term coexistence of 2G/3G/4G/5G networks and rising operational costs.
With the help of innovative wireless products and expanding applications of AI, we do believe the future network will become simple and intelligent, delivering a supreme experience to customers in the 5G era.
At present, the majority of operators have multiple bands and standards in the same site location. It is also very common for several operators to share the same tower and site. Most of the sites have been densely mounted by antennas and RRUs without enough space to add 5G AAUs. Building new sites presents problems including site acquisition difficulties, high investment costs and long construction periods. To reduce the complexity of siting and ease the deployment of 5G networks, a supremely simple site solution enabled by multi-band, multi-mode, ultra-broadband products are recommended.
The introduction of multi-band, multi-port passive antennas, active and passive hybrid antennas, and ultra-wideband RRU light up a new way to solve the problem of tight antenna installation space in the macro base station. Operators can consolidate and reduce the antennas and RRUs of the existing sites with these products before or during 5G construction, reserve enough space for 5G AAUs, and maximise the utilisation of precious site resources. We think the priority deployment scenarios for 5G includes central business districts; scenic areas; industrial parks; stadiums; campuses and more. Simple site solutions can cover all of these typical scenarios, helping operators to optimise their existing site equipment and deploy 5G networks.
AI technology represented by machine learning and deep learning can be widely used in network alarm processing; fault root cause analysis; network coverage optimisation; network capacity prediction; digitising user experience and accurate network optimisation; network-level energy management; dynamic scheduling of cloud network resources; and intelligent network slicing, thereby improving network O&M efficiency and reducing related costs. In addition, real-time intelligence analysis also enables precise business support, accelerates new service deployment and vertical industry business innovation.
In order to deliver a supreme experience, seamless coverage and excellent network performance are not enough. A tailored network slicing for specific scenarios is the key to ensuring a well-matched user experience. Among all the wireless technologies, Massive MIMO is the most important contributor in spectrum efficiency improvement.
