Dynamic Space-Frequency-Division Multiple-Access Uplink Resource Allocation
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Solution Overview
Problem
In 4G wireless communication systems, the limited wireless frequency resources lead to inefficiencies due to fixed frequency bands and inadequate consideration of channel states and noise statistics, resulting in suboptimal resource allocation and interference among users with different transmission power and spatial channel requirements.
Innovation Solution
A dynamic space-frequency-division multiple-access communication system and method that optimizes resource allocation among users by performing real-time optimization computations at the base-station and terminals, using spatial mapping modes and adaptive antenna selection to balance transmission power, bandwidth, and spatial channel resources, thereby enhancing frequency utilization and system capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If fixed frequency bands are used for communication in traditional OFDMA uplink systems, then system implementation is simplified, but frequency resources cannot be fully utilized and system capacity is limited
Solution Approach 1:
The patent implements dynamic frequency resource allocation where terminals can flexibly select subcarriers based on real-time channel conditions and spatial mapping modes. The base station dynamically adjusts frequency resource distribution among multiple terminals using optimization algorithms that consider channel state information, thereby transforming the static frequency allocation into a dynamic adaptive system that maximizes frequency resource utilization while maintaining implementation feasibility
Solution Approach 2:
The system changes the allocation parameters of frequency resources dynamically by adjusting subcarrier assignment, power distribution, and spatial mapping configurations based on channel conditions. The base station computes optimal parameter sets using optimization functions that adapt to varying channel states, allowing the system to achieve higher frequency resource utilization without fundamentally changing the OFDMA architecture
2Productivity
If different users share the same frequency channel using different spatial channels, then system capacity increases, but interference between users increases when one user's power increases
Solution Approach 1:
The patent applies local quality by assigning different spatial mapping modes and power levels to different terminals based on their specific channel conditions and requirements. Each terminal receives customized spatial resource allocation and power control parameters that are optimized for its local channel environment, thereby enabling multiple users to share frequency resources while minimizing mutual interference through localized adaptation
Solution Approach 2:
The system dynamically adjusts spatial resource allocation and power distribution among users based on real-time channel state information. The base station continuously computes optimal power control parameters and spatial mapping configurations using optimization algorithms that respond to changing channel conditions, thereby dynamically balancing system capacity enhancement with interference mitigation
3Productivity
If real-time optimization computation is performed at the base-station using optimization functions, then resource allocation efficiency improves, but computational complexity and system overhead increase
Solution Approach 1:
The patent segments the optimization computation into modular components that process different aspects of resource allocation separately. The base station divides the overall optimization problem into sub-problems related to power control, subcarrier assignment, and spatial mapping, solving each segment independently using specialized algorithms. This segmentation reduces computational complexity while maintaining overall resource allocation efficiency
Solution Approach 2:
The system performs preliminary computations of channel state information and prepares optimization parameter sets in advance before actual resource allocation. The base station pre-processes channel data and computes candidate optimization solutions ahead of time, reducing the real-time computational burden during active communication phases while maintaining efficient resource allocation
Data Source
AI summary
Embodiments of the present invention include a system and method of dynamic space-frequency-division multiple-access for the uplink from terminals to a base-station. The system includes a base-station and multiple terminals. According to different spatial mapping modes, the base-station performs an optimization computation using an optimization function in order to obtain control information for controlling terminals; after receiving the control information, the user terminal controls the transmitting mode using this control information. The method includes the following operations: at the base-station, performing an optimization computation using an optimization function according to different spatial mapping modes respectively, in order to obtain control information for controlling terminals; at the user terminal, controlling a transmitting mode using the control information after receiving the above control information. An embodiment of the present invention can achieve a higher system capacity by balancing resource allocation among different users in a domain of transmission power, bandwidth and spatial channels.