Program Participant

Program Participant

Chad Lamb

Chief Systems Architect, XKL, LLC

Dr. Lamb has been in the telecommunications field for 20 years. Presently he oversees all aspects of research, design and development at XKL. Prior to XKL, Dr. Lamb was a Systems Engineer at Innovative Solutions International, and held technical roles at Polaroid, HP, and GE. He holds a Doctorate of Philosophy in Electrical Engineering.

You can find Chad Lamb in:

Topical Session 9: New Technologies for Data Transport
Tuesday, 23 January 2018


Statistical Multiplexing at the Optical Transport Layer




Over the past two decades, increasing bandwidth demand has become a major challenge and opportunity for growth within the networking market. The number of Internet users has skyrocketed alongside application bandwidth intensity, and the burgeoning Internet of Things is projected to exponentially strain networks. One key solution to increase network efficiency lies in increasing spectral efficiencies on the transport equipment. While many solutions provide increasingly better spectral efficiency, those gains take time and are expensive.  Complementary approaches to increasing network efficiency rely on better aggregation methodologies such as statistical multiplexing. Combining coherent technology along with the “pool of bandwidth” that is achievable with statistical multiplexing, allows for more control of bandwidth allocation, growth, and the spiraling costs of transport equipment.

Statistical multiplexing can greatly increase network efficiencies at OSI Layer 1, the simplest network layer and the most expensive. OSI Layer 1 equipment has traditionally leveraged time-division multiplexing to aggregate traffic, a simplistic approach leading to channel inefficiencies. By allocating bandwidth via statistical multiplexing algorithms, traffic is intelligently aggregated to maximize channel efficiency.

Hear how coherent technology is combined with statistical multiplexing to transform networks, helping end-users optimize networks.

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