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Brochure: Cloud RAN deployments and key trends 2015—2020
All modules contain between 6 and 13 data tables plus regional breakdown, with accompanying commentary consisting of graphs and concise commentary on the assumptions underlying the fore-casts, and the key factors driving them.
The assumptions and forecasts are based on primary research, updated twice-yearly, which focuses on Rethink’s core research base of the top 76 mobile operator groups worldwide (some groups have multiple national subsidiaries).
From the starting point of a calculation of the number of cell sites already deployed worldwide, fore-casts are made of the numbers of base stations that will be rolled out a) to brand new sites and b) to replace or upgrade existing sites. These deployment forecasts are then categorized by network topol-ogy, spectrum band, spectrum mode, region and other factors.
These forecasts are based on a combination of data from:
Detailed surveys, interviews and operator-by-operator modeling of the 76 groups to obtain a clear picture of RAN deployment plans to 2020.
Studies of the deployments and strategies of those tier one and tier two MNOs, tracked over the past decade by Rethink.
In-depth interviews with a targeted base of senior level respondents, many at CTO level. Input from ecosystem vendors on shipments, technology strategies and competitive landscape. Based on the surveys of operators and vendors, it was then calculated how those cell sites would be equipped – by base station type, technology, frequency band etc, leading to a detailed unit and mar-ket size measurement.
Brochure: Cloud RAN deployments and key trends 2015—2020
As mobile operators face rising capex bills to meet mobile data demand combined with falling ARPU, they are turning to radical new network designs. With Cloud-RAN, they will virtualize baseband pro-cessing functions for hundreds of sites on a server or base station hotel.
In distributed base stations, the baseband is a digital unit supporting the MAC PHY and antenna ar-ray, while the RRH obtains the digital signals, converts them to analog, amplifies the power, and sends the transmission. By making the RRH an active unit capable of converting from analog to digi-tal, operators are able to support multiple standards (2G.3G and 4G) and distribute the baseband loads.
Cloud-RAN takes this concept further by serving large numbers of sites – often small cells – from a large centralized cloud computing center, where baseband processing is carried out on an on-demand basis. Signals are passed over fiber to this server center. The approach mirrors that of super-computing, in which a central virtualized engine services the processing needs of many remote ma-chines. At the cell site end, the radio head and antennas are increasingly integrated, such that the ra-dio becomes part of the antenna array.
C-RAN leaves shrunk-down equipment (usually a very compact radio/antenna unit) at the cell site. It allows for massive-scale virtualization of baseband processing – not just supporting a score of sites with a hotel, but more than 50 per server blade in a data center. The remote radio head is converted into an intelligent antenna array and each current macro layer site can be further extended via fur-ther antennas, and/or by interworking with small cells.
Sample from the Report
Brochure: Cloud RAN deployments and key trends 2015—2020