Packet Encoding Matrix for Reliable 5G Transmission
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Solution Overview
Problem
The challenge in 5G mobile communication is ensuring data transmission reliability while minimizing resource overhead, particularly in scenarios like carrier aggregation (CA) and dual connectivity (DC) where PDCP duplication consumes excessive resources.
Innovation Solution
A data processing method involving a first transmission node that determines k second data packets from m first data packets, encodes them using a first generation matrix to generate n first encoded data packets, and sends them to a second transmission node, enabling decoding with fewer operations and reducing resource overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If PDCP duplication is used to improve transmission reliability, then data transmission reliability is improved, but computing resource consumption increases
Solution Approach 1:
The patent creates encoded copies of data packets using generation matrices rather than simple duplications. The transmitting node generates n encoded packets from k source packets, where any k of the n packets can reconstruct the original data. This provides reliability through redundancy while being more resource-efficient than PDCP duplication because the encoded packets contain distributed information from all source packets, reducing the total number of transmissions needed.
Solution Approach 2:
The patent changes the redundancy parameter from binary duplication (exact copies) to algebraic encoding (linear combinations over finite fields). By using generation matrices with elements from finite fields GF(q), the system transforms the redundancy mechanism to achieve better resource efficiency while maintaining the same reliability level, directly addressing the contradiction between reliability and resource consumption.
2Reliability
If retransmission mechanisms (ARQ/HARQ) are used to improve transmission reliability, then data transmission reliability is improved, but transmission latency increases
Solution Approach 1:
The patent performs preliminary encoding of data packets into n redundant versions before transmission. This pre-computed redundancy eliminates the need for reactive retransmission mechanisms like ARQ and HARQ, as the receiver can immediately reconstruct lost packets from the remaining received packets. This preliminary action resolves the contradiction by providing reliability through advance preparation rather than post-loss retransmission, thereby reducing latency.
Solution Approach 2:
The patent extracts and removes the retransmission mechanism (ARQ/HARQ) from the system by replacing it with forward error correction through algebraic coding. Instead of detecting errors and requesting retransmissions, the system proactively adds redundancy through encoding, allowing the receiver to independently recover from losses without time-consuming retransmission cycles, thus eliminating the latency penalty.
3Reliability
If PDCP duplication is used to provide transmission redundancy, then transmission reliability is improved, but resource overhead increases
Solution Approach 1:
The patent creates encoded copies of data packets using generation matrices rather than simple duplications. The transmitting node generates n encoded packets from k source packets, where any k of the n packets can reconstruct the original data. This provides reliability through redundancy while being more resource-efficient than PDCP duplication because the encoded packets contain distributed information from all source packets, reducing the total number of transmissions needed.
Solution Approach 2:
The patent uses composite encoding structures where each transmitted packet is a composite of multiple source packets combined through algebraic operations. The generation matrix creates a composite representation where information from all k source packets is distributed across n encoded packets, achieving better resource utilization compared to simple duplication while maintaining the same reliability level.
Data Source
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AI summary
Embodiments of the present application relate to the technical field of communications, and provide a data processing method, an apparatus, and a storage medium, for use in ensuring the reliability of data transmission and reducing the resource overhead. The method comprises: acquiring m first data packets, wherein m is a positive integer; determining k second data packets according to the m first data packets, wherein k is a positive integer, the value range of elements in a first generator matrix is [0, q-1], and q is a prime or a prime power; encoding the k second data packets according to the first generator matrix to obtain n first encoded data packets, wherein n is a positive integer; and sending all or some first encoded data packets among the n first encoded data packets to a second transmission node.