Channel Modeling and Physical Layer Optimization in Copper Line Networks
Description
This book investigates the physical layer aspects of high-speed transmission on twisted-pair copper wires, where the most performance-critical components are multi-input multi-output (MIMO) precoding and multi-line spectrum optimization as well as optimized scheduling of the transmission time slots on the fiber to the distribution point (FTTdp) copper link. The book brings theoretical results into the implementation, which requires the introduction of realistic channel models and more practical implementation constraints as found in the copper access network.
A good understanding of the transmission medium, twisted-pair telephone cable bundles is the basis for this work. Starting from the analysis of measurement data from twisted-pair cable bundles at high frequencies, it presents a MIMO channel model for the FTTdp network, which allows the characteristic effects of high-frequency transmission on copper cable bundles in simulation to be reproduced and the physical layer transmission methods on the copper channels to be analyzed and optimize.
The book also presents precoding optimization for more general power constraints and implementation constraints. The maximization of data rate in a transmission system such as G.fast or VDSL is a combinatorial problem, as the rate is a discrete function of the number of modulated bits. Applying convex optimization methods to the problem offers an efficient and effective solution approach that is proven to operate close to the capacity of the FTTdp channel.
In addition to higher data rates, low power consumption is another important aspect of the FTTdp network, as it requires many access nodes that are supplied with power from the subscriber side over the twisted- pair copper wires. Discontinuous operation is a method of quickly adding and removing lines from the precoding group. To implement this, the system switches between different link configurations over time at a high frequency. The transmission times of all lines are jointly optimized with respect to the current rate requirements. Discontinuous operation is used to save power, but also makes it possible to further increase the data rates, taking the current subscriber traffic requirements into account. These methods are compared with theoretical upper bounds, using realistic channel models and conditions of a system implementation. The performance analysis provides deeper insights into implementation complexity trade-offs and the resulting gap to channel capacity.
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Rainer Strobel received his Dipl.-Ing. degree from the University of Applied Sciences in Augsburg and his M.Sc. degree from the Technische Universität München in 2011. He completed the doctoral thesis in 2017 at the Signal Processing Laboratory of the Technische Universität München in cooperation with Intel.
Rainer Strobel actively contributed to the ITU G.fast standard for gigabit copper access networks with more than 20 papers covering different aspects of the G.fast physical layer, e.g., precoding and spectrum optimization, discontinuous operation for power saving, channel estimation and initialization. The channel model developed during this work is part of the Broadband Forum technical recommendation TR-285 for broadband copper cable models. The work on coexistence between G.fast and VDSL2 is part of the NICC UK standards study document ND-1520. During the work on the G.fast specification and the Intel G.fast transceiver, more than 20 patent applicationswere filed and 6 patents have been already granted. His scientific contributions include conference papers on channel modeling (IEEE Globecom 2013), precoding and spectrum optimization (IEEE ICC 2015, IEEE Globecom 2015, 2016, 2017), coexistence of VDSL2 and G.fast (EUSIPCO 2015), nonlinear precoding implementation aspects (EUSIPCO 2016) and discontinuous operation (IEEE ICASSP 2016).
Content
Introduction to Fast Digital Access and FTTdp Networks.- Channel Models for Twisted Pair Cable Bundles.- Precoding Optimization for Copper Line Networks.- Framing-Based Optimization.- Conclusion.