How can RLNC - make our interconnected world work?
The simplicity of the RLNC algorithm means that all neighbouring devices can help the network as soon as the transfer starts, boosting speed and reliability. Coded and native packets can be re-coded by any node to increase the network’s robustness, without impacting latency or decoding complexity
RLNC's ability to enable intermediate devices to create redundancy as soon as they receive the first packet - without need to decode - enables true network cooperation, boosting reliability, slashing delay, and saving significant device energy
RLNC removes most of the retransmissions and device-by-device tracking that bogs down conventional multicast wireless and CDN systems. In addition, it enables cooperative broadcast and caching, yielding massive energy and latency reductions
RLNC facilitates the secure distribution of data across diverse systems and geographies. The added layer of security helps keep client data protected
Code On’s proprietary coding technology, Random Linear Network Coding (RLNC), enables the powerful, next-generation multicast features required for satellite, mobile 5G, connected cars, video streaming and much more.
Check out demo videos from our licensees:
RLNC Standardisation efforts continued at IETF110. In case you missed it make sure you see the YouTube recording of the last meeting. Morten Pedersen presented some benchmarks on RLNC enabled sliding window codes and how they improve latency performance. Click through to watch the presentation here
Authors of this paper "propose a novel multipath multi-hop adaptive and causal random linear network coding (AC-RLNC) algorithm with forward error correction" Read the latest version of the paper at the link here
Authors of this paper investigate the trade-off between the expected E2E latency and channel utilization for sending adaptively arriving packets over a lossy channel with feedback delay. They propose an RLNC coded Scheme which has higher channel utilization, but much better E2E Latency. Whereas ARQ performance "degrades drastically with the feedback delay". Read the paper here [Paywall]
Code On seeks to enable the broad adoption of Random Linear Network Coding (RLNC). It does that by providing consulting services and working to build an ecosystem of partners who provide a range of enabling tools and services.
