Multi-User Coordination Mode Selection via Spatial Selectivity
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Solution Overview
Problem
Current communication technologies face challenges in efficiently coordinating multiple users in cellular networks, particularly when the number of users exceeds the available communication resources, leading to interference and decreased data rates, especially in scenarios where spatial selectivity is limited.
Innovation Solution
A method and apparatus for a communication device that determines available spatial selectivity and selects among multiple user coordination modes, including orthogonal, spatial, and non-orthogonal multiple access, to optimize resource allocation and minimize interference, by using signature sequences to separate user signals and adaptively switch between modes based on available resources and performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If non-orthogonal multiple access (NOMA) is applied to handle more users than available resources, then the number of served users increases, but interference between users increases and signal quality deteriorates
Solution Approach 1:
The system dynamically changes parameters including coordination mode selection (orthogonal, spatial, or non-orthogonal), power allocation coefficients, and signature sequence assignment based on real-time channel conditions and user requirements. This allows the system to adaptively balance between serving more users and controlling interference levels.
Solution Approach 2:
Signature sequences serve as intermediaries that enable separation of user signals in the non-orthogonal multiple access scenario. These sequences provide a structured way to distinguish between overlapping user transmissions, reducing interference through code-based separation.
2Object-affected harmful factors
If orthogonal resources are allocated to ensure signal orthogonality, then interference between users is minimized, but the number of users that can be served is limited by available resources
Solution Approach 1:
The system transitions from traditional two-dimensional resource allocation (time and frequency) to three-dimensional allocation by adding the spatial dimension through multi-antenna techniques and signature sequences. This enables the system to serve more users by exploiting spatial selectivity and code-domain separation in addition to time-frequency resources.
Solution Approach 2:
The communication system is designed to support multiple coordination modes (orthogonal, spatial, and non-orthogonal) within a unified framework, allowing it to adapt to different traffic conditions and user requirements. This multi-functionality enables the system to optimize between serving capacity and interference management based on current system state.
3Measurement precision
If signal processing techniques like equalizing and interference rejection combining are applied, then orthogonality restoration is improved, but system complexity and computational requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-assigning signature sequences to users before transmission and pre-calculating power allocation coefficients based on channel state information. This preparation reduces the complexity of real-time signal processing at the receiver by having much of the separation work done in advance.
4Productivity
If multi-user coordination modes are dynamically selected based on spatial selectivity, then resource utilization is optimized, but the complexity of mode selection and decision-making increases
Solution Approach 1:
The system implements self-service through autonomous mode selection based on pre-defined criteria and metrics. The communication device automatically determines available spatial selectivity and selects appropriate coordination modes without requiring manual intervention or complex external control, reducing operational complexity while maintaining optimization.
Data Source
AI summary
A method of a communication device configured with two or more multi-user coordination modes for communication with a plurality of users is disclosed. The method comprises determining an available spatial selectivity for the plurality of users, and selecting one of the two or more multi-user coordination modes based on the determined available spatial selectivity and a number of users of the plurality. Corresponding apparatus, communication receiver and computer program product are also disclosed.