Resource Block Mapping for Flexible FSS and FDS Scheduling
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Solution Overview
Problem
In broadband wireless mobile communication systems, the existing radio resource scheduling methods face challenges in efficiently combining Frequency Selective Scheduling (FSS) and Frequency Diversity Scheduling (FDS) schemes, particularly in determining DVRB mapping rules that do not restrict LVRB mapping, leading to increased bit overhead and reduced resource allocation sophistication.
Innovation Solution
A resource block mapping method that interleaves virtual resource block indexes using a block interleaver, allowing for sequential mapping to physical resource blocks on both slots of a subframe, with a gap determined by the number of consecutive physical resource blocks in a resource block group, to efficiently combine FSS and FDS schemes and reduce bit overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If DVRB mapping rules are designed to combine FSS and FDS schemes, then scheduling flexibility is improved, but bit overhead increases and resource allocation sophistication is reduced
Solution Approach 1:
The patent segments the virtual resource block index space into multiple groups, where each group can be independently mapped to physical resource blocks. This segmentation allows the system to apply different mapping rules (FSS or FDS) to different segments, reducing the bit overhead required to signal resource allocation while maintaining scheduling flexibility across the entire resource pool.
Solution Approach 2:
The patent introduces an additional dimension by mapping virtual resource blocks to multiple physical resource block groups rather than a single linear mapping. This multi-dimensional mapping approach allows the system to achieve both FSS and FDS characteristics without requiring excessive bits for resource indication, as the mapping structure itself provides implicit resource allocation information.
2Manufacturing precision
If resource allocation is performed with fine granularity, then resource allocation sophistication is improved, but bit overhead increases
Solution Approach 1:
The patent divides the physical resource blocks into multiple groups and performs resource allocation at the group level rather than individual block level. This segmentation maintains sufficient resource allocation granularity for precise control while significantly reducing the bit overhead, as fewer resource indicators are needed to specify allocations at the group level compared to individual block specifications.
Solution Approach 2:
The patent applies resource allocation at a coarser granularity level (resource block group level) rather than the finest possible level (individual resource block level). This partial action approach provides sufficient precision for effective resource management while avoiding the excessive bit overhead that would result from indicating every individual resource block allocation.
Data Source
AI summary
A user equipment (UE) receives downlink data using resource blocks in a wireless mobile communication system. The UE receives downlink control information including resource allocation information and downlink data mapped to physical resource blocks (PRBs) based on the downlink control information. The resource allocation information indicates virtual resource block (VRB) allocations for the UE. Indexes of the PRBs to which the downlink data are mapped are determined based on a mapping relationship between virtual resource blocks (VRBs) and the PRBs. The mapping relationship is defined based on indexes of the VRBs which are mapped to the indexes of the PRBs for a first slot of a subframe and a second slot of the subframe. The indexes of the PRBs for the second slot are shifted with respect to the indexes of the PRBs for the first slot based on a predetermined gap. The mapping relationship includes a transformation of VRB indexes based on a matrix.