Waveform Switching for Dynamic Data Throughput Control
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Solution Overview
Problem
Current bandwidth throttling methods require service providers to consume computing resources for packet scheduling based on different service types, which can be inefficient.
Innovation Solution
The technique involves selecting a waveform (DFT-s-OFDM or CP-OFDM) to assign to user equipment (UE) based on its location relative to the cell center or edge, allowing data throughput to be adjusted dynamically without packet scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If bandwidth throttling is implemented using packet scheduling, then data throughput can be regulated, but computing resources are consumed
Solution Approach 1:
The patent changes the physical waveform parameter (DFT-s-OFDM vs. CP-OFDM) to control data throughput instead of using packet scheduling. By selecting different waveforms with inherently different throughput characteristics, the system regulates bandwidth while consuming fewer computing resources.
Solution Approach 2:
The patent replaces the computational mechanism (packet scheduling algorithms) with a physical signal mechanism (waveform selection). This substitution eliminates the need for complex scheduling computations while achieving the same bandwidth regulation effect.
2Adaptability or versatility
If packet scheduling is used to limit bandwidth, then service types can be differentiated, but system complexity increases
Solution Approach 1:
The patent uses waveform parameter changes to differentiate service types. By assigning specific waveforms (DFT-s-OFDM for power-efficient services, CP-OFDM for high-throughput services) based on service requirements, the system achieves service differentiation without complex scheduling logic.
Solution Approach 2:
The patent extracts the bandwidth control function from the packet scheduling system and implements it through waveform selection. This separates the throughput regulation mechanism from the scheduling complexity, simplifying the overall system.
Data Source
AI summary
Techniques for dynamically switching between waveforms are discussed herein. For example, a waveform selector (e.g., at a base station) may select a waveform for the UE to utilize to change data throughput. In some examples, the base station may select a DFT-s-OFDM or a CP-OFDM for the UE to utilize such that data throughput is reduced at certain times. The base station may determine which waveform to utilize based on data received from the UE, such as location data, signal data, and/or other data.