OFDM Shared-Channel Allocation With Partial Resource Block Subcarriers
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Solution Overview
Problem
Existing resource allocation mechanisms in wireless communication systems, particularly for data-aided detection in uplink shared channels, suffer from coarse granularity, leading to inefficient use of spectral resources and challenges in channel estimation for multiple user equipments.
Innovation Solution
Implementing a resource allocation mechanism that provides subcarrier-level granularity by allocating a part of the subcarriers in each resource block to multiple user equipments, enabling efficient data-aided detection using machine learning techniques, such as convolutional neural networks, and reducing the need for pilot symbols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If coarse granularity resource allocation is used in uplink shared channels, then device complexity is reduced and ease of operation is improved, but spectral efficiency deteriorates and channel estimation precision worsens
Solution Approach 1:
The patent segments resource blocks into smaller units and allocates them individually to different user equipments. Instead of allocating entire resource blocks as coarse units, the system divides and distributes specific resource block units to multiple UEs, enabling fine-grained channel estimation for each user while maintaining manageable allocation complexity through standardized segmentation rules.
Solution Approach 2:
The patent applies local quality by providing different allocation granularities to different user equipments based on their specific channel conditions and service requirements. Each UE receives channel estimation resources tailored to its local channel characteristics, allowing precise channel estimation for users experiencing frequency-selective fading while using coarser allocation for users with flat channels.
2Productivity
If subcarrier-level granularity resource allocation is implemented, then spectral efficiency is improved and channel estimation precision is enhanced, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The patent segments resource blocks into smaller allocatable units at the subcarrier level, enabling fine-grained spectral resource distribution. By dividing resource blocks into multiple subcarrier groups that can be independently allocated to different UEs, the system achieves high spectral efficiency through efficient resource utilization while managing complexity through systematic segmentation patterns.
Solution Approach 2:
The patent implements dynamic resource allocation where subcarrier-level resources are flexibly assigned to different user equipments based on real-time channel conditions, traffic demands, and quality of service requirements. This dynamic allocation allows the system to adaptively optimize spectral efficiency while distributing complexity across multiple standardized allocation patterns rather than requiring complex custom allocations for each user.
3Measurement precision
If pilot symbols are used for channel estimation, then channel estimation precision is improved, but spectral efficiency deteriorates due to resource consumption by pilot symbols
Solution Approach 1:
The patent extracts and removes dedicated pilot symbols from the resource allocation, replacing them with data-aided channel estimation techniques. By taking out the non-productive pilot symbols and using actual data transmissions to perform channel estimation, the system eliminates the spectral efficiency penalty associated with pilot overhead while maintaining or improving channel estimation precision through the use of abundant data symbols.
Solution Approach 2:
The patent implements self-service channel estimation where the data symbols themselves serve the dual purpose of information transmission and channel estimation. Instead of relying on separate pilot symbols, the system uses the transmitted data to estimate the channel characteristics, allowing the data to serve itself for both communication and channel characterization functions.
Data Source
AI summary
According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core and at least one memory storing instructions that, when executed by the at least one processing core, cause the apparatus at least to transmit in uplink or sidelink, or receive in downlink, using orthogonal frequency-division multiplexing, via a physical shared channel in a system comprising resource block groups, each resource block group comprising two or more resource blocks, each resource block comprising plural subcarriers which are consecutive to each other in frequency, and process an allocation of resources for the physical shared channel, the allocation received from a network node, the allocation defining that the apparatus may use a part of, but not all, subcarriers of each one of one or more resource blocks for communication via the physical shared channel.