Cable Television Laboratories, Inc.

Time Warner Cable Enterprises LLC

Chris Stengrim

Luis Alberto Campos

Zhensheng Jia

Mu Xu

Howard Pfeffer

Daniel Stoller

A method for automatic power and modulation management in a communication network includes (a) generating a discontinuous management function that is a weighted function of at least spectral efficiency and power consumption of the communication network, (b) determining, from the discontinuous management function, an optimal modulation format, an optimal forward error correction (FEC) rate, and an optimal output power of a transmitter of the communication network, which collectively achieve a maximum value of the management function, and (c) causing the transmitter to operate according to the optimal modulation format, the optimal FEC rate, and the optimal output power.

Systems and methods for power and modulation management

A method for automatic power and modulation management in a communication network includes (1) generating a management function of (a) mutual information per symbol (MIPS) of the communication network and (b) output power (P) of a transmitter of the communication network, determining a selected MIPS value and a selected P value which achieve a maximum value of the management function, and causing the transmitter of the communication network to operate according to the selected MIPS value and the selected P value.

Apparatus and methods for managing provision of content to devices in a content delivery network. In one exemplary embodiment, content with a high probability of viewership is sent to consumer premises equipment (CPE) during off-peak periods and stored prior to viewing. An application is utilized to manage decisions related to content provision. The computer program will identify content that is likely to be of interest users associated with respective CPE, and schedule provision of that content in advance of viewing. Then, the system will develop a plan for optimal scheduling of transmission of content to CPEs, often including the use of trickle downloads. The scheduling plan is based collected statistical and historical data on network resource demand to make scheduling decisions. The system allows for the shifting of bandwidth utilization from periods of high demand to those of low demand, and increased performance with regard to user experienced latency.

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Wilton, CT, United States of America

Chris Stengrim