Self-Scheduling Subpacket Encoding for Low-Overhead Uplink Decoding
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Solution Overview
Problem
Wireless communications systems face high power consumption and overhead due to blind channel estimation and decoding in self-scheduling resource pools, particularly in network entities receiving uplink data from user equipment.
Innovation Solution
A self-scheduling resource pool structure is implemented where user equipment encodes packets into multiple subpackets with UE identifiers and CRCs, allowing for independent decoding, reducing blind decoding and power consumption at the network entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blind channel estimation and decoding are performed in self-scheduling resource pools, then network entities can receive uplink data from user equipment, but power consumption and overhead increase significantly
Solution Approach 1:
The patent segments the uplink data transmission into multiple subpackets, each with its own CRC and UE identifier. This segmentation allows the network entity to decode only the necessary subpackets rather than performing blind decoding on entire packets, significantly reducing power consumption while maintaining reliable data reception.
Solution Approach 2:
The patent applies preliminary action by pre-encoding each subpacket with a CRC and UE identifier before transmission. This preliminary encoding enables the network entity to quickly validate and identify subpackets without performing full blind decoding, reducing computational overhead and power consumption at the network entity.
2Reliability
If blind decoding is performed for each packet in self-scheduling resource pools, then complete packets can be received, but overhead and processing complexity increase
Solution Approach 1:
The patent divides packets into multiple subpackets, each independently encoded with CRC and UE identifiers. This segmentation reduces decoding complexity because the network entity can validate and process smaller subpackets individually rather than performing complex blind decoding on entire packets, while still ensuring complete packet reception through selective retransmission requests.
3Ease of operation
If traditional encoding methods are used without subpacketization, then simpler transmission procedures are maintained, but retransmission overhead increases
Solution Approach 1:
The patent segments data into subpackets with individual CRCs, enabling selective retransmission of only failed subpackets rather than retransmitting entire packets. This maintains relatively simple transmission procedures while significantly reducing retransmission overhead, as only the specific failed subpackets need to be retransmitted.
Solution Approach 2:
The patent implements feedback mechanisms where the network entity sends acknowledgments for successfully received subpackets and requests retransmission of failed subpackets. This feedback system enables efficient selective retransmission, reducing overall retransmission overhead while keeping the transmission procedure manageable through structured acknowledgment and retransmission requests.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive an indication of a self-scheduling resource pool associated with self-scheduling transmissions by the UE. The UE may encode, at a physical layer, data associated with a packet into a set of subpackets. Each subpacket of the set of subpackets may include a subset of the data and an identifier associated with the UE. The UE may transmit the set of subpackets via one or more resources of the self-scheduling resource pool.