Distributed MIMO TRP Selection Using UE Measurement Feedback
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Solution Overview
Problem
The challenge in distributed MIMO systems is selecting an appropriate set of transmission/reception points (TRPs) to serve user equipment (UE) effectively, which is crucial for improving system performance in terms of signal reception quality.
Innovation Solution
A communication method and apparatus that determine and select suitable TRPs based on measurement configuration information, including TRP IDs, metrics, and parameters, allowing the UE to recommend TRPs that meet specific conditions, thereby improving signal reception quality by serving the UE through multiple TRPs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple TRPs are used for cooperative transmission, then signal reception quality is improved, but device complexity and TRP selection difficulty increase
Solution Approach 1:
The UE autonomously measures reference signals from multiple TRPs, evaluates measurement metrics (RSRP, RSRQ, SINR), and independently determines the optimal TRP set to serve itself. This self-service mechanism eliminates the need for complex network-side TRP selection algorithms, reducing overall system complexity while maintaining high signal reception quality through cooperative transmission.
Solution Approach 2:
The network device pre-configures measurement configuration information including measurement TRP ID sets, measurement metrics, and measurement parameters before the UE performs TRP selection. This preliminary action provides the UE with necessary measurement guidelines and TRP candidates, enabling efficient autonomous selection without real-time network intervention, thus resolving the contradiction between reliability improvement and complexity increase.
2Adaptability or versatility
If flexible TRP configuration is implemented, then adaptability to different service types is improved, but measurement and selection difficulty increases
Solution Approach 1:
The measurement configuration information includes configurable measurement metrics (RSRP, RSRQ, SINR) and measurement parameters that can be adjusted according to different service types and deployment scenarios. By changing these parameters, the system adapts to various service requirements (eMBB, URLLC, mMTC) without fundamentally altering the TRP selection mechanism, thus improving adaptability while keeping measurement difficulty manageable.
Solution Approach 2:
The measurement configuration framework serves multiple functions: it provides TRP identification, defines measurement metrics, sets measurement parameters, and enables adaptation to different service types. This universal configuration mechanism handles diverse service requirements through a single unified approach, improving versatility without proportionally increasing measurement and selection difficulty.
Data Source
AI summary
The embodiments of the present disclosure provide communication methods, communication devices based on a distributed system and a non-transitory computer storage medium. The communication method based on a distributed system performed by a network device comprises: determining measurement configuration information and sending same to a UE, wherein the measurement configuration information comprises a measurement transmission/reception point (TRP) identifier set, a measurement metric and a measurement parameter; sending reference signals of measurement TRPs which correspond to the measurement TRP identifier set; receiving an identifier of a recommended TRP or an identifier of a recommended TRP reference signal, wherein the recommended TRP is a measurement TRP meeting a condition and determined by the UE according to the measurement metric and the measurement parameter; and determining at least one of a transmission TRP or reception TRP for subsequently used, according to the identifier of the recommended TRP or the identifier of the recommended TRP reference signal.