Link Margin Procedure for Multi-Stream EDMG Systems
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Solution Overview
Problem
Conventional link margin procedures lack support for reporting link margin parameters for multiple streams in MIMO systems, making it difficult to efficiently select optimal modulation and coding schemes for high data rate applications like VR and AR, which require high throughput and are affected by high free space loss in the 60 GHz band.
Innovation Solution
The proposed solution involves an apparatus and method for reporting link margin parameters such as link margin, SNR, and recommended MCS for multiple streams, allowing for a link margin procedure that adjusts transmit parameters based on measured link parameters, enabling efficient link adaptation and optimal MCS selection in MIMO and MU-MIMO systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional link margin procedures are used, then the system is simple to operate, but it cannot report link margin parameters for multiple streams in MIMO systems
Solution Approach 1:
The link margin reporting mechanism is segmented to handle multiple spatial streams independently. Each spatial stream's link margin is measured and reported separately through the feedback mechanism, allowing the system to adapt to each stream's channel conditions individually while maintaining a unified reporting framework.
Solution Approach 2:
The link margin reporting procedure is designed to be universal across single-stream and multi-stream MIMO systems. The same feedback mechanism and measurement procedures can be applied whether there is one spatial stream or multiple spatial streams, making the system adaptable without requiring fundamentally different procedures.
2Productivity
If multiple spatial streams are used to achieve high data throughput, then the data rate increases, but the difficulty of measuring and reporting link parameters for each stream increases
Solution Approach 1:
The measurement process is segmented by spatial stream, with each stream's link margin measured independently using the same feedback mechanism. This segmentation allows systematic handling of multiple streams without overwhelming complexity, as each stream follows the same measurement and reporting procedure.
Solution Approach 2:
A feedback mechanism is established where the receiver measures link margin for each spatial stream and reports these measurements back to the transmitter. This feedback loop enables continuous adaptation to channel conditions for each stream, facilitating accurate measurement and reporting even in complex multi-stream scenarios.
3Reliability
If link adaptation is performed for each spatial stream, then optimal MCS selection is achieved, but the processing complexity increases
Solution Approach 1:
Link adaptation is segmented by spatial stream, with each stream undergoing independent MCS selection based on its specific link margin measurements. This segmentation enables optimal adaptation for each stream while maintaining a systematic processing approach that avoids overwhelming complexity through standardized procedures.
Solution Approach 2:
The link adaptation process utilizes feedback from link margin measurements to automatically select optimal MCS for each spatial stream. This feedback-driven approach enables reliable MCS selection without requiring complex manual configuration or processing, as the system automatically adapts based on measured channel conditions.
Data Source
AI summary
Certain aspects of the present disclosure generally relate to wireless communications and, more particularly, systems and methods for a link margin procedure that accommodates reporting link parameters, such as link margin, for multiple streams.