OFDM Transceiver Adaptive Bandwidth Power Management
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Solution Overview
Problem
Current energy-efficient techniques for optical communications, such as selectively turning off network elements or optimizing power consumption in routers and optical components, fail to achieve the lowest possible energy efficiency, especially in peak traffic situations, and are not feasible for service providers due to long startup times or inability to track network traffic variations.
Innovation Solution
An energy-efficient OFDM transceiver with a decision processor controlling internal elements for parallel operation and selective powering off or hibernation, using adaptive subcarriers and tunable filters to adjust bandwidth based on traffic decisions, and employing interleaved lower-speed ADCs with track-and-hold capabilities to reduce power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If network elements are selectively turned off to save energy, then energy consumption is reduced, but the system cannot respond quickly to peak traffic and reliability deteriorates
Solution Approach 1:
The patent implements dynamic bandwidth adjustment by enabling the transceiver to adaptively scale its operating bandwidth according to real-time traffic conditions. The transceiver can dynamically switch between full bandwidth operation during peak traffic and reduced bandwidth during low traffic periods, allowing energy savings without complete shutdown and maintaining rapid response capability for traffic surges.
Solution Approach 2:
The patent changes the operating parameter of bandwidth to achieve energy efficiency. By adjusting the bandwidth parameter dynamically based on traffic load, the system reduces power consumption during low traffic while maintaining full capability when needed, avoiding the reliability issues of complete shutdown approaches.
2Reliability
If transceiver operates at full bandwidth permanently, then network reliability is maintained, but energy consumption increases
Solution Approach 1:
The transceiver employs dynamic bandwidth adjustment, transitioning between full and reduced bandwidth operation based on real-time traffic conditions. This allows the system to maintain full reliability when necessary while achieving energy savings during low-demand periods, resolving the contradiction between permanent full operation and energy efficiency.
Solution Approach 2:
The system implements periodic monitoring of traffic conditions and adjusts bandwidth operation accordingly. By periodically assessing traffic load and switching between full and reduced bandwidth modes, the transceiver achieves energy efficiency while maintaining readiness to provide full service when traffic demands increase.
3Use of energy by moving object
If bandwidth is reduced to save energy, then energy consumption decreases, but the ability to handle peak traffic is compromised
Solution Approach 1:
The transceiver dynamically adjusts bandwidth based on real-time traffic conditions, reducing bandwidth during low traffic to save energy while maintaining full bandwidth capability when peak traffic occurs. This dynamic adaptation ensures energy efficiency without permanently compromising traffic handling capacity.
Solution Approach 2:
The transceiver autonomously monitors traffic conditions and self-adjusts its bandwidth operation without external intervention. This self-service capability allows the system to automatically reduce energy consumption during low traffic while maintaining full productivity when needed, based on its own performance monitoring.
Data Source
AI summary
An energy efficient OFDM transceiver includes a transmitter using a decision processor to control first internal elements that can be operated in parallel and can be selectively powered off or hibernated, and a receiver using a processing decision element to control second internal elements that can be operated in parallel and can be selectively powered off or hibernated, wherein control of the first and second internal elements enables tracking status of network traffic, adjustment of OFDM bandwidth based on a traffic decision and selectively powering off or hibernating parallel ones of the first and second internal elements.