Distributed MIMO Antenna Cell and Resource Assignment
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Solution Overview
Problem
Existing solutions are inadequate for designing Multiple-Input and Multiple-Output (MIMO) networks where antennas are distributed far apart, and they fail to optimize the assignment of radio resources to antennas.
Innovation Solution
A method that determines an assignment of radio resources to antennas by obtaining an antenna deployment, assigning each antenna to a cell, and then allocating radio resources to maximize the area with a high Signal-to-Noise-Ratio (SNR) or Signal-to-Interference-plus-Noise Ratio (SINR), using a computation node to optimize cell and resource assignments based on proximity and propagation properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If antennas are placed in very close proximity (existing solutions), then the network design is simpler, but the total coverage area where high rank MIMO is achieved is limited
Solution Approach 1:
The patent segments the antenna system into distributed antenna groups, each serving specific cells. Instead of treating all antennas as a single centralized unit, the system divides antennas into multiple groups that can be independently assigned to different cells, enabling broader coverage while maintaining manageable design complexity through modular organization
Solution Approach 2:
The patent transitions from a single-dimension approach (antenna proximity) to a multi-dimensional optimization by considering antenna location, cell assignment, and radio resource allocation simultaneously. This dimensional expansion allows distributed antennas to achieve superior coverage area while complexity is managed through systematic optimization across multiple parameters
2Area of stationary object
If antennas are distributed far apart, then the total coverage area increases, but optimizing radio resource assignment becomes more complex
Solution Approach 1:
The patent performs preliminary cell assignment to distributed antennas before final radio resource allocation. By pre-organizing antennas into cell-specific groups and establishing initial assignments based on geographic proximity and propagation characteristics, the system reduces the complexity of subsequent radio resource optimization while maintaining broad coverage
Solution Approach 2:
The patent systematically varies and optimizes multiple parameters including antenna-to-cell assignment mappings, radio resource allocations, and propagation model parameters. This parameter optimization approach enables the system to achieve high coverage area with distributed antennas while managing complexity through automated parameter tuning and optimization algorithms
3Ease of manufacture
If existing MIMO design solutions are used, then implementation is straightforward, but they cannot optimize radio resource assignment for distributed antennas
Solution Approach 1:
The patent creates a universal optimization framework that handles both centralized and distributed antenna configurations through the same systematic approach. The method universally applies cell assignment and radio resource optimization algorithms regardless of antenna distribution pattern, providing both ease of implementation through standardized procedures and adaptability to various deployment scenarios
Solution Approach 2:
The patent implements self-service optimization where the system automatically performs cell assignment and radio resource allocation based on input parameters without requiring manual configuration. The optimization algorithms autonomously determine optimal assignments for distributed antennas, maintaining implementation ease while achieving superior adaptability and resource optimization capability
Data Source
AI summary
Systems and methods for determining an assignment of radio resources to antennas are provided. In some embodiments, a method includes obtaining an antenna deployment including antennas and corresponding locations for the antennas; determining a cell assignment for the antennas such that each antenna is assigned to one cell out of one or more cells; and, based on the cell assignment, determining a resource assignment for the antennas such that each antenna is assigned to one radio resource out of one or more radio resources. In this way, some embodiments disclosed herein provide a lightweight and efficient method to design a distributed antenna deployment. In some embodiments, the resulting network is optimized in terms of the total area where a high rank is achieved.