Open Collections

Abstract

Data Over Cable Service Interface Specification (DOCSIS) is a widely adopted standard enabling high-speed data transmission for cable modems (CMs) over Hybrid Fiber-Coaxial (HFC) networks. In this system, the Cable Modem Termination System (CMTS) serves as the central node responsible for allocating Resource Blocks (RBs) at the CMs, which operate under varying traffic loads. Efficient resource allocation (RA) is essential to achieving high data rate and maintaining low backlog levels. However, since the CMTS does not have prior knowledge of future data arrival rates at the CMs, dynamically allocating resources to match real-time traffic demands becomes a complex challenge. Improper allocation of resources, particularly at high data rates can lead to excessive delays and increased backlogs. To address the challenges of scheduling under diverse traffic demands, two novel resource allocation schemes: Hybrid RA and Proportional Fairness (PF) RA are introduced and evaluated against traditional allocation approaches from wireless communication including random, delay-based and backlog-based RA. The proposed schemes are designed to enhance scheduling adaptability in DOCSIS networks, particularly in balancing delay and backlog performance across both real-time and non-real-time applications. The hybrid RA scheme balances delay and backlog via a tunable parameter, while the PF RA scheme adapts allocations based on real-time traffic conditions. The impact of outlier modems-devices with atypical traffic behavior is also investigated. Simulation results indicate that both schemes offer measurable improvements in delay reduction and backlog control, contributing to more balanced and fair allocation of resources in DOCSIS networks.