MU-MIMO PDCCH Beamforming for UE Candidate Selection
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Solution Overview
Problem
Conventional PDCCH beamforming in 5G networks is limited to a single PDCCH per UE, leading to inefficiencies in channel resource allocation and potential scheduling blocking due to increased RRC connected UEs, which affects downlink and uplink data scheduling.
Innovation Solution
Identify UE candidates for MU-MIMO PDCCH by determining spectral efficiency of PDSCH transmissions, pairing UEs with spectral efficiency above a threshold for MU-MIMO PDCCH using beamformed signals, and utilizing orthogonal cover codes for DMRS of PDCCH CCEs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional single PDCCH beamforming is used per UE, then implementation is simple, but PDCCH capacity is limited and scheduling blocking occurs
Solution Approach 1:
The patent segments the PDCCH service by introducing multiple PDCCHs per UE through MU-MIMO beamforming. Instead of a single PDCCH, the system creates multiple beamformed PDCCHs that can be simultaneously transmitted to different UEs, thereby increasing PDCCH capacity without requiring complete system redesign
Solution Approach 2:
The patent makes the beamforming system multi-functional by enabling the same beamforming infrastructure to serve both single-UE and multi-UE scenarios. The gNodeB can dynamically configure beamforming for multiple UEs simultaneously, allowing the system to adapt between different service requirements without adding separate systems
2Productivity
If multiple UEs are served with beamforming, then spectral efficiency improves, but interference between UEs increases
Solution Approach 1:
The patent applies local quality by customizing beamforming parameters for each UE based on its specific channel conditions and requirements. Each UE receives beamformed signals optimized for its local characteristics, allowing multiple UEs to be served simultaneously with minimal mutual interference through individualized beam configuration
Solution Approach 2:
The patent performs preliminary channel estimation and spectral efficiency calculation for each UE before beamforming transmission. By pre-determining which UEs are suitable for MU-MIMO based on their channel conditions and spectral efficiency metrics, the system prevents interference-prone transmissions and selects optimal UE pairs in advance
3Adaptability or versatility
If RRC connected UEs increase, then network connectivity improves, but scheduling blocking increases
Solution Approach 1:
The patent implements feedback mechanisms where UEs report their channel conditions and spectral efficiency metrics to the gNodeB. This feedback enables the gNodeB to make informed scheduling decisions, identifying which UEs can be successfully served through beamforming and preventing scheduling blocking by adjusting resource allocation based on real-time network conditions
Data Source
AI summary
Systems and methods are provided for selecting user equipment (UE) candidates for control signaling using beamformed signals. A spectral efficiency is determined for a first set of signals between a first UE and a base station in a telecommunications network. It is then determined that the spectral efficiency of the first set of signals is above a threshold. Based on the spectral efficiency of the first set of signals being above the threshold, beamforming is utilized for a set of control signals between the first UE and the base station.