HS-PDSCH Blind Decoding Optimization in WCDMA
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communication networks, particularly in HS-PDSCH of WCDMA networks, the existing technologies face challenges in reducing the number of blind decoding operations, which leads to high hardware resource and power consumption, especially in HS-SCCH-less operation where multiple transport formats need to be blindly decoded.
Innovation Solution
The solution involves reducing the number of blind decoding operations by forming a candidate set of transport formats, partially decoding received transmissions, and using quality metrics to select only high-quality formats for full decoding, as well as combining HARQ with previous transmissions to improve decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blind decoding is performed for all allowed transport formats in HS-SCCH-less operation, then the UE can correctly receive data transmissions, but the number of decoding operations increases significantly, leading to high hardware resource consumption and power consumption
Solution Approach 1:
The patent segments the blind decoding process into two stages: first, a reduced candidate set of transport formats is identified and decoded; second, if decoding fails, the full set of allowed transport formats is then decoded. This segmentation reduces the average number of decoding operations by handling the common case (successful decoding in first stage) with fewer operations.
Solution Approach 2:
The patent applies partial action by performing decoding on only a subset (candidate set) of transport formats initially, rather than all allowed formats. This partial decoding approach reduces power consumption while maintaining reliability, as the candidate set is designed to include the actual transport format used.
2Reliability
If blind decoding is performed for all allowed transport formats in HS-SCCH-less operation, then the UE can correctly receive data transmissions, but the hardware resource consumption increases
Solution Approach 1:
The patent segments the decoding process into stages with different candidate set sizes. The first stage uses a reduced candidate set requiring fewer hardware resources, while the second stage (if needed) uses the full candidate set. This segmentation allows the hardware to operate at lower complexity for the majority of cases.
Solution Approach 2:
The patent performs partial decoding by limiting the initial decoding operations to a candidate set of transport formats rather than all allowed formats. This reduces the instantaneous hardware resource requirements while maintaining the ability to handle all possible cases if needed.
3Reliability
If all allowed transport formats are decoded, then no data transmission is missed, but the throughput is reduced due to the time consumed by unnecessary decoding operations
Solution Approach 1:
The patent segments the decoding operations into priority stages, with the most likely transport formats decoded first in the candidate set. This segmentation ensures that successful decodings occur faster on average, improving throughput while maintaining reliability through the fallback to the full candidate set if needed.
Solution Approach 2:
The patent performs partial decoding on a candidate set first, which reduces the average decoding time and increases throughput. The full candidate set is only decoded if the partial decoding fails, ensuring no data is missed while minimizing the time spent on unnecessary decoding operations.
Data Source
AI summary
The number of blind decoding operations in a wireless communication receiver is reduced. In one embodiment, a candidate set of transport formats is formed by eliminating one or more allowed transport formats, thus reducing the number of decode operations to be performed. In another embodiment, a received data transmission is partially decoded according to each of a plurality of transport formats, and decode quality metrics associated with each transport format are inspected. Only the transport formats yielding sufficiently high quality metrics are utilized to fully decode the transmission. In other embodiments, upon failure to successfully decode a received transmission, it is assumed to be a retransmission with a missed control transmission, and one or more transport formats specifying the position of a previous transmission in a buffer are added to the candidate set of transport formats. The received retransmission and previously received transmission are then HARQ combined and decoded.