Telecommunication networks: protocols, modeling and analysis
Telecommunication networks: protocols, modeling and analysis
Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
A priority scheme for the IEEE 802.14 MAC protocol for hybrid fiber-coax networks
IEEE/ACM Transactions on Networking (TON)
Models and Algorithms for Bandwidth Allocation of CBR Video Streams in a VoD System
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
A protocol for efficient transfer of data over fiber/cable systems
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
A review of contention resolution algorithms for IEEE 802.14 networks
IEEE Communications Surveys & Tutorials
ms START: A random access algorithm for the IEEE 802.14 HFC network
Computer Communications
A MAC protocol for HFC networks: Design issues and performance evaluation
Computer Communications
Adaptive digital access protocol: a MAC protocol for multiservice broadband access networks
IEEE Communications Magazine
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The introduction of new high bandwidth services such as video-on-demand by cable operators will put a strain on existing resources. It is important for cable operators to know how many resources to commit to the network to satisfy customer demands. In this paper, we develop models of voice and video traffic to determine the effect of demand growth on hybrid fiber-coax networks. We obtain a set of guidelines that network operators can use to build out their networks in response to increased demand. We begin with one type of traffic and generalize to an arbitrary number of high-bandwidth constant bit rate (CBR) like services to obtain service blocking probabilities. We consider the effect of supporting variable bit rate (VBR) packet-switched traffic in addition to CBR services. These computations help us to determine how cable networks would function under various conditions (i.e., low, medium, and heavy loads). We also consider how the growth rate of the popularity of such services would change over time, and how this impacts network planning. Our findings will help cable operators estimate how much bandwidth they need to provision for a given traffic growth model and connection blocking requirement.