PDSCH Decoding Modes With Adaptive Perturbation for Low Latency
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Solution Overview
Problem
Current wireless communication systems, particularly in the 5G era, face challenges in efficiently decoding signals due to limitations in data rate and latency, especially with the increasing number of connected devices and the need for improved coverage in terahertz bands, which requires advanced technologies like beamforming and MIMO but struggles with decoding errors and complexity.
Innovation Solution
The proposed solution involves a method and apparatus for user equipment (UE) in wireless communication systems that utilize a transceiver and processor to receive decoding mode information from a base station, perform perturbations using an artificial neural network for decoding failed data, and adapt decoding based on service requirements and UE capabilities, reducing complexity and latency through flexible decoding modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional decoding methods are used in 5G systems, then basic communication services are supported, but decoding errors increase and complexity rises when supporting high data rates and low latency in terahertz bands
Solution Approach 1:
The decoding process is divided into multiple stages: initial decoding attempt, failure detection, perturbation application, and re-decoding. This segmentation allows the system to handle complex decoding tasks in manageable steps, improving reliability without overwhelming the decoder with excessive complexity at any single stage.
Solution Approach 2:
Before attempting to decode failed data, the system preliminarily identifies decoding failures and prepares perturbation patterns. This preliminary action includes detecting decoding failure, determining which codewords failed, and preparing the perturbation process, thereby reducing the overall complexity when handling the actual decoding correction.
2Reliability
If multiple perturbation rounds are performed to reduce error probability, then decoding reliability improves, but latency increases
Solution Approach 1:
The system performs perturbation rounds selectively rather than always executing maximum perturbation attempts. When decoding succeeds on the first attempt, no perturbation is applied. Perturbation is applied only when decoding fails, and the number of rounds is adjusted based on the specific failure case, thereby reducing average latency while maintaining reliability.
Solution Approach 2:
The system uses feedback from the decoding result to determine whether to apply perturbation and how many rounds to perform. The decoding outcome (success or failure) feeds back into the control logic that decides the next action, allowing the system to adapt the number of perturbation rounds to actual needs, reducing unnecessary latency while maintaining error probability performance.
3Adaptability or versatility
If flexible decoding modes are implemented to adapt to service requirements, then system adaptability improves, but control complexity increases
Solution Approach 1:
The system dynamically adjusts the decoding approach based on service requirements and decoding outcomes. Different service types (e.g., enhanced mobile broadband, ultra-reliable low-latency communication) trigger different decoding configurations, and the system transitions between decoding modes based on real-time conditions, providing adaptability while managing control complexity through service-based categorization.
Solution Approach 2:
The system changes key parameters such as the number of perturbation rounds, the type of perturbation applied, and the maximum number of re-decoding attempts based on service requirements. By adjusting these parameters rather than implementing entirely different decoding algorithms for each service type, the system achieves flexibility while controlling complexity through parameter management.
Data Source
AI summary
Provided is a 5th generation (5G) or 6th generation (6G) communication system for supporting higher data rates after 4G communication systems such as long term evolution (LTE). A communication method of a user equipment (UE) includes receiving, from a base station (BS), information about a decoding mode including bit information corresponding to the number of times of perturbation, receiving data from the BS on a Physical Downlink Shared Channel (PDSCH), and decoding the received data based on the information about the decoding mode, wherein the information about the decoding mode may be generated based on service information including at least one of Quality of Service (QoS), a service priority, packet delay performance, packet error probability performance, a requirement, or a data transmission scheme.