Spatial Spectrum Sharing With Dynamic Precoding for User Separation
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Solution Overview
Problem
Current wireless communication networks face challenges in accommodating the increasing data traffic and maintaining high quality of service due to limited bandwidth, and existing solutions like Cloud Radio Access Network (C-RAN) are expensive and difficult to deploy quickly or scale.
Innovation Solution
Implementing wireless network technologies that utilize spatial user device separation, dynamic precoding, and shared spectrum resources, enabling efficient use of time and frequency resources through techniques such as spatial user device separation, precoder adjustments, and angular filtering to minimize interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If spatial user device separation with dynamic precoding is implemented, then network capacity and SINR are improved, but system complexity increases
Solution Approach 1:
The system performs preliminary channel measurements in the uplink direction to predict downlink channel characteristics. The network station computes spatial separation and precoding parameters in advance based on uplink channel state information, enabling efficient downlink resource allocation without real-time complexity
Solution Approach 2:
Uplink channel measurements serve as an intermediary to infer downlink channel conditions. By using uplink channel state information as a mediator, the system avoids direct downlink measurement complexity while achieving accurate spatial separation for capacity enhancement
2Productivity
If shared spectrum resources are used for multiple user devices, then bandwidth utilization is improved, but interference between users increases
Solution Approach 1:
The system applies user-specific precoding matrices to each transmitted signal stream, creating localized signal characteristics tailored to individual user channels. This local optimization ensures that each user receives a customized signal that maximizes their specific channel quality while minimizing interference to others
Solution Approach 2:
The system converts potential interference into beneficial signal separation by using precoding techniques that deliberately shape transmitted signals to exploit spatial differences. What would normally be interference between simultaneous transmissions is transformed into a mechanism for achieving orthogonal signal separation across different spatial dimensions
3Reliability
If dynamic precoding is applied to minimize interference, then Signal to Interference and Noise Ratio is improved, but computational requirements increase
Solution Approach 1:
The network station computes precoding matrices in advance based on uplink channel measurements before actual downlink transmission. This preliminary computation allows the system to prepare optimal precoding parameters without real-time computational burden during data transmission
Solution Approach 2:
The system uses uplink channel state information as a copy or proxy for downlink channel conditions. By copying channel characteristics from the uplink (which is already measured) to inform downlink precoding decisions, the system avoids the need for complex real-time downlink channel estimation and computation
Data Source
AI summary
Methods, systems, and devices for spectral sharing wireless systems, wherein multiple user devices share time and frequency resources for uplink and/or downlink transmissions, are described. One example wireless communication system includes a network station, and multiple user devices, wherein data transmissions over the same time and frequency resources are shared between multiple user devices, in downlink and/or uplink, using spatial user device separation that is dynamically computed by the network station, and where the network station derives spatial user device separation based on uplink channel measurements.