Wireless Resource Allocation via Power-to-Resource Ratio
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Solution Overview
Problem
Current wireless multiple access systems face challenges in optimizing resource allocation, particularly in constrained FDMA and multi-code CDMA systems, where individual bandwidth constraints and power spectral density affect the maximum sum rate, leading to suboptimal performance due to interference and resource limitations.
Innovation Solution
A method and apparatus for allocating resources in wireless communication systems, where a base station receives maximum transmission power from devices and allocates resources based on a ratio of this power to the maximum available resource, using algorithms to determine optimal bandwidth and code allocation, ensuring maximum sum rates while adhering to constraints, leveraging concepts like proportional sharing, water-filling, and orthogonal signature sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are allocated based on maximum transmission power alone, then power-efficient devices are favored, but devices with higher power capability may not receive sufficient resources to achieve maximum sum rate
Solution Approach 1:
The patent changes the allocation parameter from maximum transmission power alone to a ratio parameter combining maximum transmission power with maximum available resource. This transforms the allocation criterion into a normalized ratio that balances power capability with resource availability, enabling more sophisticated resource distribution that maximizes sum rate while maintaining fairness and efficiency.
2Reliability
If proportional sharing of bandwidth is implemented, then fairness among users is improved, but the ability to optimize for individual power constraints is reduced
Solution Approach 1:
The patent applies local quality by tailoring resource allocation to individual device characteristics. Instead of uniform proportional sharing, each device receives resources based on its specific maximum transmission power and maximum available resource parameters, creating customized allocation strategies that adapt to local device capabilities while contributing to overall system reliability.
3Productivity
If water-filling algorithm is used for power allocation, then sum rate is maximized, but computational complexity increases
Solution Approach 1:
The patent segments the resource allocation problem into manageable components by introducing the ratio parameter that separates power-related factors from resource-related factors. This segmentation simplifies the optimization process compared to full water-filling algorithms, reducing computational complexity while still achieving maximum sum rate through the decomposed allocation strategy.
Data Source
AI summary
A method for allocating resources in a wireless communication system is provided. A base station receives a maximum transmission power from a first wireless device. The base station allocates a resource to the first wireless device based on a ratio of the maximum transmission power to a maximum available resource.