Localized Dynamic Channel Allocation for Wireless Latency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication systems, particularly those operating at 60 GHz frequencies, face challenges in optimizing latency, data memory size, and channel time utilization due to the dynamic nature of data transmission and variable channel conditions, which are not effectively addressed by existing protocols.
Innovation Solution
Implementing localized dynamic channel allocation techniques that allow source stations to adjust transmit channel allocations based on real-time conditions and feedback from destination stations, enabling flexible scheduling and efficient use of channel time, even in environments with multiple destination stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If static channel allocation is used, then device complexity is reduced, but latency increases and channel time utilization decreases
Solution Approach 1:
The patent implements dynamic channel allocation where the source station adjusts transmit channel allocations in real-time based on buffer status and channel conditions. The allocator dynamically determines channel time distribution to multiple destination stations within a service period, changing allocations based on current traffic demands and link quality, thereby reducing latency without requiring overly complex centralized control.
Solution Approach 2:
The service period is divided into multiple transmit channel allocations, each dedicated to a specific destination station. This segmentation allows the source station to independently manage and optimize channel time for each destination based on individual buffer status and channel conditions, reducing overall latency while maintaining manageable device complexity through modular allocation decisions.
2Productivity
If centralized network scheduler controls channel allocation, then channel time utilization is optimized, but device complexity and latency increase
Solution Approach 1:
The source station performs self-service by locally allocating channel time to multiple destination stations based on its own buffer status and channel conditions. The source station's allocator autonomously determines transmit channel allocations without requiring centralized scheduling decisions, reducing device complexity and latency while maintaining high channel time efficiency through localized optimization.
Solution Approach 2:
The patent applies local quality by having the source station make allocation decisions based on local information specific to each destination station, including individual buffer status and channel conditions. This localized decision-making optimizes channel time efficiency for each destination while avoiding the complexity of centralized control, as each allocation is tailored to local requirements.
3Loss of time
If buffer size is increased to meet latency requirements, then latency is reduced, but memory footprint increases
Solution Approach 1:
The patent implements dynamic channel allocation that adapts to current buffer status, allowing the system to meet latency requirements by allocating more channel time when buffers are full rather than increasing buffer size. The allocator dynamically adjusts transmit channel allocations based on real-time buffer status, reducing the need for large memory footprints while maintaining low latency through efficient time utilization.
4Adaptability or versatility
If channel time is allocated to multiple destination stations, then productivity decreases due to competition, but adaptability increases
Solution Approach 1:
The service period is segmented into multiple transmit channel allocations, each assigned to a specific destination station. This segmentation eliminates competition for channel time by providing dedicated allocation periods for each destination, maintaining high channel time efficiency while enabling the system to adapt to multiple simultaneous destinations through structured time division.
Data Source
AI summary
Techniques for localized dynamic channel allocation help meet the challenges of latency, memory size, and channel time optimization for wireless communication systems. As examples, advanced communication standards, such as the WiGig standard, may support wireless docking station capability and wireless streaming of high definition video content between transmitting and receiving stations, or engage in other very high throughput tasks. The techniques help to deliver the desired user experience in such an environment and support desired performance levels for latency and throughput while controlling memory footprint.