The Sub-band Vectoring Technique for Multi-Operator Environments

Autor: Vatalaro, Francesco, Mazzenga, Franco, Giuliano, Romeo
Rok vydání: 2016
Předmět:
Druh dokumentu: Working Paper
DOI: 10.1109/ACCESS.2016.2580198
Popis: Self- and alien-FEXT disturbances on the same cable severely limit performance in the commonly employed VDSL2 17a, i.e. 17.6 MHz, standard profile. Then, in a multi-operator environment, VDSL2 may be unable to provide the 100 Mbit/s speed required by the EC's policy target, unless vectoring is adopted along with a suitable Multi-Operator Vectoring (MOV) technique. Some vendors recently proposed enlarging the bandwidth up to 35.2~MHz (so-called e-VDSL) as one possible solution to increase the 100 Mbit/s coverage. However, as we show in the paper, the bandwidth advantage is illusory as an "ideal MOV" is not implementable with today's technology, and alien-FEXT practically destroys the envisaged data-rate increase. Therefore, we introduce the Sub-band Vectoring (SBV) technique, as one practical solution, which turns out to be near optimal in terms of achievable data-rate, as well as incremental for those Countries where the NRA adopts sub-loop unbundling regulation. SBV adopts a novel frequency division multiplexing approach, which imposes one fairness condition to equalize data-rate values and overall bandwidth per operator at different distances. The paper shows that e-VDSL with SBV is robust, as it can cope with relatively high values of vectoring impairments. It also shows that the SBV allows up to three co-located operators with e-VDSL to coexist, without imposing any of the burdensome coordination limitations of the ideal MOV architecture. Our results show that the SBV allows achieving up to 210 Mbit/s per user for e-VDSL and up to 620 Mbit/s per user for a bandwidth expanded up to 105.6 MHz, with two telecom operators. Finally, the paper shows that a migration strategy towards usage of the G.fast standard thanks to SBV is achieved in a simple way.
Comment: 11 pages, 8 figures and 2 tables
Databáze: arXiv