Communication Node Huffman Bit Allocation for Signal Quality
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Solution Overview
Problem
Distributed antenna systems face challenges in maintaining signal quality, especially in areas with high data transmission demands and poor propagation environments, where lossy compression is inevitable, and existing compression methods do not effectively allocate additional bits to improve data bit strings during encoding.
Innovation Solution
A method that encodes a count leading zero bit string into a corresponding codeword using a Huffman encoding algorithm and allocates additional bits to an additional data bit string when the number of bits decreases, improving signal processing in communication nodes within distributed antenna systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If Huffman encoding is applied to compress communication signals in distributed antenna systems, then data transmission efficiency is improved, but signal quality deteriorates due to lossy compression
Solution Approach 1:
The patent changes the parameter of bit allocation dynamically based on data appearance frequencies. By monitoring how often different data patterns occur and adjusting the number of bits allocated to represent them, the system optimizes compression ratios for frequent patterns while maintaining sufficient precision for less frequent ones, thus improving overall transmission efficiency without excessive signal quality loss
Solution Approach 2:
The system implements dynamic bit allocation that adapts to the actual data distribution characteristics. Instead of using fixed-bit encoding, the encoder dynamically adjusts the number of bits required to represent data based on observed frequencies, making the compression scheme flexible and adaptive to varying data patterns in real-time communication scenarios
2Reliability
If additional bits are allocated to data bit strings during encoding, then signal quality is improved, but compression efficiency deteriorates
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the number of allocation bits based on data appearance frequencies. For data patterns that occur frequently, fewer bits are allocated since their representation is more predictable, while less frequent patterns receive more bits. This dynamic parameter adjustment ensures signal quality is maintained where needed while maximizing compression efficiency overall
Solution Approach 2:
The system applies local quality by allocating different numbers of bits to different data patterns based on their specific appearance frequencies. Instead of uniformly allocating bits to all data, the encoder provides higher precision (more bits) only to data patterns that benefit most from it, while using fewer bits for patterns where high precision is less critical, thus optimizing the trade-off between signal quality and compression efficiency locally for each data type
Data Source
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AI summary
A communication node processing a communication signal in a distributed antenna system comprises a data appearance frequency monitor configured to receive a communication signal including a sign bit string, a count leading zero bit string, and an additional data bit string, and to monitor data appearance frequency in the count leading zero bit string included in the received communication signal, a Huffman encoder configured to encode the count leading zero bit string into a corresponding codeword according to a Huffman encoding algorithm based on the data appearance frequency in the count leading zero bit string and an additional bit allocator configured to allocate additional bits to the additional data bit string when the number of bits in the count leading zero bit string decreases during the encoding process.