Beam-Level Radio Resource Management in 5G Networks
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Solution Overview
Problem
Existing channel quality reporting processes in wireless communication systems do not adequately accommodate the reporting of channel state information associated with large, two-dimensional array transmit antennas or antenna array geometries that have a large number of antenna elements, which is a challenge in 5G communication systems aiming for improved radio resource management and mobility.
Innovation Solution
The development of methods and apparatuses for codebook design and signaling, specifically for user equipment (UE) and base stations, that enable efficient measurement and reporting of channel state information using hybrid beamforming architectures and UE-centric radio resource management, allowing for flexible and reduced-overhead beam-level radio resource management and mobility procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing channel quality reporting processes are used, then system simplicity is maintained, but they do not adequately accommodate reporting of channel state information for large two-dimensional array transmit antennas
Solution Approach 1:
The patent segments the channel state information reporting into multiple parts: first identifying a set of candidate beams, then selecting a subset of preferred beams from candidates, and finally reporting channel quality for the preferred beams. This segmentation allows the system to handle large antenna arrays by breaking down the complex reporting task into manageable steps, improving adaptability while controlling complexity.
Solution Approach 2:
The patent introduces a two-dimensional beam space dimension in addition to the traditional frequency and time dimensions. By organizing channel state information reporting around beam pairs (horizontal and vertical beam indices) and introducing a third reporting dimension through beam quality indicators, the system can effectively accommodate large 2D antenna arrays without proportionally increasing overall system complexity.
2Productivity
If beamforming and massive MIMO techniques are implemented, then transmission distance and data rates are improved, but system complexity increases
Solution Approach 1:
The patent performs preliminary beam identification and candidate beam selection before final channel quality reporting. By pre-identifying candidate beams and filtering them down to preferred beams based on initial measurements, the system reduces the complexity of subsequent processing and enables efficient massive MIMO operation without proportionally increasing overall system complexity.
Solution Approach 2:
The patent implements dynamic beam selection where the set of candidate beams and preferred beams can change based on channel conditions, user equipment movement, and network requirements. This dynamic approach allows the system to adapt to changing conditions efficiently, maintaining high data rates through beamforming while managing complexity through adaptive rather than static beam management.
3Measurement precision
If comprehensive channel state information is reported for all antenna elements, then measurement precision is improved, but signaling overhead increases
Solution Approach 1:
The patent extracts and reports only the most relevant channel state information for preferred beams rather than reporting all possible beam measurements. By identifying candidate beams first, then selecting a subset of preferred beams from candidates, and reporting channel quality only for these preferred beams, the system maintains measurement precision for the most important directions while significantly reducing signaling overhead compared to comprehensive reporting of all antenna elements.
Solution Approach 2:
The patent implements partial reporting by focusing on a subset of preferred beams rather than all possible beams. This partial action approach reports sufficient channel state information to enable effective beamforming and resource allocation without the excessive overhead of comprehensive reporting, achieving an optimal balance between measurement precision and signaling efficiency.
Data Source
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AI summary
The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). Methods and apparatuses for beam-level radio resource management and mobility are provided. A user equipment (UE) includes a transceiver and at least one processor operably connected to the transceiver. The transceiver is configured to receive measurement resource configuration information that includes at least one measurement reference signal (RS) resource configuration, transmit a trigger request, and receive a measurement report trigger. The at least one processor is configured to calculate, in response to receipt of the measurement report trigger, a measurement report from a measurement RS. The transceiver is further configured to transmit the measurement report. The RS resource configuration is associated with a radio resource unit.