Cell-Free Network Cooperative Decoding for Random Access
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Solution Overview
Problem
Conventional cell-free networks face challenges in performing cooperative activity detection and decoding of signals transmitted by multiple user devices due to the lack of applicable methods for grant-free and random access scenarios, particularly in massive IoT environments.
Innovation Solution
A network device maintains datasets indicating neighboring network devices and user IDs, receives and separates signals to obtain user IDs and payloads, and exchanges information with neighboring devices to facilitate cooperative decoding, reducing signaling overhead and improving separation of signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional activity detection methods are used in cell-free networks, then the network can operate with known active user devices and coordinated pilot sequences, but the methods are not applicable to grant-free and random access scenarios where activity detection and decoding must be performed jointly
Solution Approach 1:
The patent combines activity detection and decoding into a single joint process. Network devices receive signals containing both activity information and data payloads, perform separation to obtain user IDs and payloads, and exchange information with neighboring devices to enable cooperative decoding. This merging eliminates the need for separate activity detection and decoding steps, making the system applicable to grant-free and random access scenarios while managing complexity through distributed processing.
2Measurement precision
If network devices exchange information to enable cooperative decoding, then signal separation performance is improved, but signaling overhead increases
Solution Approach 1:
The patent extracts only the necessary information for cooperative decoding and exchanges it between network devices. Each device separates received signals to obtain user IDs and payloads, then exchanges this separated information with neighboring devices. This extraction approach enables cooperative decoding to improve signal separation performance while minimizing signaling overhead by transmitting only the essential separated signal components rather than raw signals or excessive metadata.
3Adaptability or versatility
If multiple network devices cooperatively decode signals from multiple user devices, then random access capability is enabled, but the complexity of maintaining datasets and coordinating between devices increases
Solution Approach 1:
The patent segments the cooperative decoding process into distinct functional steps performed by network devices. Each device maintains separate datasets (first dataset indicating neighboring devices, second datasets indicating user IDs), performs signal separation independently, and exchanges information in a coordinated manner. This segmentation of the decoding process into manageable components enables random access capability while organizing the complexity of dataset management and inter-device coordination into structured, repeatable operations.
Data Source
AI summary
This disclosure relates to cell-free network. A network device is provided, which maintains a first dataset indicating neighboring network devices, and second datasets each indicating one or more user IDs. One second dataset is associated with the network device, and each other second dataset is associated with one neighboring network device of the first dataset. The network device receives signals from user devices, wherein each signal comprises a respective user ID and a respective payload of one user device. The network device separates one or more signals to obtain the respective user IDs and payloads, and sends first exchange information to each neighboring network device that is in the first dataset and is associated with a second dataset including at least one obtained respective user ID. The sent first exchange information comprises at least one obtained respective user ID and respective payload.