From multi-RAT cooperation energy-saving system to big data

摘要

To cope with the severe energy challenges caused by incessant mobile network expansion, the multi-RAT cooperation energy-saving system (MCES) was developed to effectively improve the energy efficiency of mobile networks. MCES interacts with the radio access network in a real-time manner and can support multiple vendors' 2G/3G/4G RAN equipment. Therefore, amount of data have ushered in the application of big data. MCES identifies and coordinates cells with overlapping coverage to achieve network energy-savings. Through big data analytics of massive MR data and traffic profiles, MCES can find the energy-saving cells and their compensating cell, and predict their traffic load trends. When the traffic load meets the criteria, 9for example, falling below some pre-defined threshold for some time, MCES will migrate its traffic to the compensating cell and place the energy-saving cell into a sleep state. With a real-time monitoring function, MCES can also turn on the sleeping cell before high-volume traffic arrives abruptly. MCES has been deployed in some cities and the field tests so far-achieved 10% energy saving per cell per day. Decades of exponential growth in commercial data services have ushered in the so-called big data era, to which the expansive mobile wireless network is a critical data contributor.