Optimizing Spectrum Efficiency with Cloud-Based Load Balancing
- Examining a novel approach to the DOCSIS® channel load balancing
- Leveraging real-time telemetry and control APIs to implement channel load balancing as a cloud-based microservice
- Decoupling VCMTS functionalities and transforming them into reliable, flexible, and scalable services with operating observability
- Assessing the effectiveness of the approach for:
- Detecting imbalanced loads across the production network
- Improving channel utilization distribution at a minimal cost
- Increasing spectrum utilization efficiency
- Improving the customer experience
Jay Zhu
Senior Principal Software Engineer
Comcast
Unlocking 5% More OFDM/OFDMA Capacity with Cyclic Prefix Tuning
- Tuning the cyclic prefix (CP) length to maximize throughput while still maintaining robust communication
- Combining telemetry data captured from the live plant and real-time FPGA-based channel emulation to assess the impact of CP length
- Analyzing how CP overhead can be reduced to increase capacity across the network
Richard Primerano
Principal Engineer, Next Generation Access Network
Comcast
Extracting Additional DOCSIS® Upstream Capacity Without HFC Network Upgrades
- Developing strategies to get additional capacity out of a DOCSIS® system without upgrading
- Exploring methods to set upstream levels to add network capacity by setting different parts of the spectrum
- Transmitting the modem at the highest level to optimize capacity
- Lessons learned: How much capacity gains are possible by adjusting the return level while still staying within the constraints of cable modem transmit power
- Building a blueprint of how an automatic system can dynamically adjust the upstream level of the DOCSIS® network
Saifur Rahman
Distinguished Engineer
Comcast
Moderator
Karthik Sundaresan
Distinguished Technologist & Director of HFC solutions
CableLabs
