Channel Structure Pseudo-Random Mapping for Intra-Cell Interference Control
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Solution Overview
Problem
Multiple-access communication systems face limitations in system capacity due to incomplete orthogonality among data transmissions, leading to interference and restricted simultaneous terminal communications.
Innovation Solution
The implementation of a channel structure with multiple channel sets, each with a hierarchical structure and pseudo-random mapping, allows for efficient resource allocation and interference control through spatial processing and overlapping schemes, enabling more terminals to communicate simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If orthogonal multiplexing is used to ensure minimal interference among terminals, then interference is reduced, but the number of simultaneous terminals is limited by available physical channels
Solution Approach 1:
The patent segments the channel structure into multiple channel sets, each with distinct hierarchical structures and pseudo-random mappings. This segmentation allows different channel sets to be assigned to different terminals, enabling simultaneous communications while maintaining interference management through the segmented structure.
Solution Approach 2:
The patent introduces a new dimension by using pseudo-random mapping across multiple channel sets rather than relying solely on traditional orthogonal dimensions (time, frequency, code). This additional dimensional approach allows more terminals to communicate simultaneously while maintaining interference control.
2Productivity
If more physical channels are allocated to support more simultaneous terminals, then system capacity increases, but available system resources are depleted
Solution Approach 1:
The patent changes the mapping parameters by using pseudo-random mappings instead of fixed orthogonal mappings. This allows the same physical resources to be dynamically allocated to different terminals in different channel sets, effectively increasing system capacity without depleting available resources.
Solution Approach 2:
The channel sets are designed to be universal and reusable. Each channel set can serve multiple terminals through pseudo-random mapping, allowing the same physical resources to be utilized by different terminals at different times, thereby increasing system capacity without requiring additional physical resources.
3Object-affected harmful factors
If traditional channel assignment is used to manage resources, then resource allocation is simple, but intra-cell interference cannot be effectively controlled
Solution Approach 1:
The patent segments the channel structure into multiple channel sets with hierarchical structures, where each set can be independently managed. This segmentation enables effective interference control through spatial processing while maintaining manageable complexity through the organized hierarchical structure.
Solution Approach 2:
The patent introduces spatial processing as an intermediary mechanism between channel assignment and interference control. This intermediary allows for effective intra-cell interference management through the use of multiple antennas and spatial techniques, while the structured channel sets keep the overall system complexity manageable.
Data Source
AI summary
A channel structure has at least two channel sets. Each channel set contains multiple channels and is associated with a specific mapping of the channels to the system resources available for data transmission. Each channel set may be defined based on a channel tree having a hierarchical structure. To achieve intra-cell interference diversity, the channel-to-resource mapping for each channel set is pseudo-random with respect to the mapping for each remaining channel set. In each scheduling interval, terminals are scheduled for transmission on the forward and/or reverse link. The scheduled terminals are assigned channels from the channel sets. Multiple terminals may use the same system resources and their overlapping transmissions may be separated in the spatial domain. For example, beamforming may be performed to send multiple overlapping transmissions on the forward link, and receiver spatial processing may be performed to separate out multiple overlapping transmissions received on the reverse link.