Dynamic Transmission Rate Adjustment for Mobile Content Delivery
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Solution Overview
Problem
Conventional content delivery methods in telecommunication networks do not efficiently consider user abandonment, leading to wasteful battery energy consumption and bandwidth usage in user equipment (UE), as they do not adapt transmission rates based on the likelihood of content being played out.
Innovation Solution
Implementing a distributed content delivery system that adjusts transmission rates, using a first higher rate initially and then a lower rate, ensuring excess content is received before transitioning to a lower power state, thereby minimizing energy usage and extending battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is delivered at a high transmission rate to ensure complete content delivery, then content delivery reliability is improved, but battery energy consumption increases
Solution Approach 1:
The system dynamically changes transmission rate parameters based on user behavior patterns. By monitoring whether users complete content consumption, the system adjusts between high transmission rates (for reliable complete delivery) and low transmission rates (for energy efficiency), optimizing the balance between delivery reliability and energy consumption.
Solution Approach 2:
The system implements feedback mechanisms by tracking user content consumption behavior. This feedback informs the transmission rate selection, creating a closed-loop system that adapts delivery parameters based on actual user needs, thereby improving reliability when necessary while reducing energy waste when users are likely to abandon content.
2Productivity
If content is delivered quickly using high transmission rates, then productivity is improved, but energy consumption increases
Solution Approach 1:
The system applies partial action by delivering content at high rates only when necessary (when users are likely to consume all content), and using low rates when excessive delivery would be wasteful. This selective approach maintains productivity when needed while avoiding unnecessary energy consumption from delivering content that users will abandon.
Solution Approach 2:
The transmission rate is made dynamic rather than static. The system continuously adapts the delivery speed based on real-time or historical user behavior data, switching between high-speed and low-speed modes to optimize the balance between productivity and energy efficiency for each user session.
3Reliability
If the system delivers complete content regardless of user abandonment likelihood, then content completeness is improved, but bandwidth waste increases
Solution Approach 1:
The system changes the content delivery parameter (transmission rate) based on user abandonment probability. For users with high abandonment likelihood, the system uses lower transmission rates and may deliver incomplete content, thereby preventing bandwidth waste while maintaining acceptable service quality.
Solution Approach 2:
The system extracts only the necessary portion of content delivery based on user behavior analysis. By identifying users likely to abandon content, the system delivers only sufficient content to maintain service quality without wasting bandwidth on delivering content that will not be consumed.
Data Source
AI summary
Apparatuses and methods for controlling a manner of delivering content to a content user in a mobile telecommunication network are provided. The content is sent to the content user using first a first transmission rate when the content user is in a first radio state and uses a first battery power, and then using a second transmission rate that is lower than the first transmission rate, when the content user is in a second radio state and uses a second battery power that is smaller than the first battery power. The sending is performed such as, (A) while delivering the content, an amount of the content already received by the content user to exceed an amount of the content used by the content user, and (B) to minimize an energy used by the content user during delivery.