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LTE Backhaul Traffic Estimation
CBNL has authored a white paper for the NGMN on “Guidelines for LTE Backhaul Traffic Estimation”.
The paper describes how a model is developed to predict traffic levels in transport networks used to backhaul LTE eNodeBs and how backhaul traffic is made up of a number of different components of which user plane data is the largest, comprising around 80-90% of overall traffic.
The impact of IPsec encryption and the particular traffic patterns of data services are also taken into account.
The result is that the aggregated traffic volumes allow better resource sharing than voice carrying networks – a detailed guideline for link capacity estimation is also provided.