MU-MIMO SRS Allocation via Lower-Bound User-Speed Filtering
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Solution Overview
Problem
The allocation of Sounding Reference Signals (SRS) resources in MU-MIMO systems is limited, leading to only a subset of users being able to receive these resources, which is inefficient and costly, and the channel state information is sensitive to user movement speed, complicating accurate scheduling.
Innovation Solution
An algorithm is developed to determine a lower bound on user movement speed based on time advance (TA) measurements, filtering users exceeding this bound to optimize SRS resource allocation and MU-MIMO transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SRS resources are allocated to all users in MU-MIMO systems, then scheduling accuracy is improved, but system resource costs increase significantly
Solution Approach 1:
The patent changes the parameter of user selection criteria by introducing speed-based filtering. Users are selected for SRS resource allocation based on their movement speed characteristics - specifically, users with lower speeds (more stable channels) are prioritized for SRS allocation in MU-MIMO systems, while high-speed users are excluded. This parameter change optimizes the trade-off between measurement precision and resource consumption by allocating expensive SRS resources only to users who can effectively utilize them.
2Quantity of substance
If SRS resources are allocated to only a subset of users, then system resource costs are reduced, but scheduling accuracy deteriorates
Solution Approach 1:
The patent applies local quality by differentiating resource allocation strategies based on user characteristics. Instead of uniform allocation to all users or none, the system identifies specific user subsets (those with appropriate speed characteristics) and allocates SRS resources locally to them. This ensures that the limited SRS resources are concentrated on users whose channel conditions are stable enough to provide reliable measurements, thereby maintaining scheduling accuracy while reducing overall resource consumption.
3Adaptability or versatility
If users with high movement speed are included in MU-MIMO scheduling, then user coverage is improved, but channel state information reliability deteriorates
Solution Approach 1:
The patent inverts the conventional approach by not excluding high-speed users from MU-MIMO scheduling per se, but rather excluding them from SRS resource allocation. This inversion allows the system to maintain user coverage and adaptability by keeping high-speed users in the MU-MIMO candidate pool, while simultaneously protecting channel state information reliability by denying SRS resources to users whose rapid movement would render measurements unreliable. The inversion resolves the contradiction by separating user eligibility from measurement resource allocation.
Data Source
AI summary
A method of determining a lower bound on users' speed for efficient SRS resource handling for MU-MIMO transmission includes determining an eNodeB (eNB) or gNodeB (gNB) timing of a subframe; determining a User Equipment (UE) timing of the subframe; calculating a timing advance type corresponding to a Round Trip Time (RTT); calculating a distance to a base station corresponding to the Round Trip Time (RTT); calculating a distance traveled by a UE between two points based on the distance to the base station; calculating a user speed based on the distance traveled by the UE; deriving a lower bound based on the user speed; and filtering users that exceed the lower bound on user speed. The filtered users may be not assigned SRS. The non-filtered users may be assigned SRS and may subsequently be sent MU-MIMO transmissions.


