Uplink Frequency-Domain Compression With Shared Exponents
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Solution Overview
Problem
The increasing demand for data efficiency in telecommunications networks, particularly in systems like LTE and LTE-Advanced, is hindered by the high data rates and volumes transmitted through interfaces, which can be exacerbated by the use of multiple antennas and virtualized evolved packet cores, necessitating effective data compression methods.
Innovation Solution
The implementation of uplink data compression in radio apparatuses, where signals are transformed from time-domain to frequency-domain and represented as floating point numbers with a shared common exponent, reducing the data transmission requirements by scaling frequency bin values to share a common exponent, thereby decreasing the amount of data sent through communication interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is transmitted through communication interfaces in traditional formats, then data transmission is straightforward, but the amount of data transmitted is large, consuming more network resources and increasing transmission time
Solution Approach 1:
The patent changes the parameter representation format by converting time-domain signal values to frequency-domain floating point numbers with shared exponents. This parameter transformation reduces the number of bits required to represent each data point while maintaining signal integrity, directly addressing the contradiction by reducing data quantity without sacrificing transmission quality
Solution Approach 2:
The patent segments the data representation into mantissa and exponent components, where the exponent is shared across multiple frequency bins and only transmitted once. This segmentation allows the majority of data (mantissas) to be compressed while the common exponent factor is extracted and transmitted separately, significantly reducing total data volume and transmission time
2Adaptability or versatility
If multiple antennas and virtualized evolved packet cores are used to increase network capacity, then system functionality is enhanced, but the data rate and volume transmitted through interfaces increase, requiring more network resources
Solution Approach 1:
The patent applies parameter changes by representing signal data in the frequency domain using floating point numbers with a common exponent structure. This representation method maintains the full functionality and adaptability of multiple antenna systems while compressing the data volume by exploiting the statistical properties of wireless signals, where many frequency bins share similar magnitude characteristics
Solution Approach 2:
The common exponent structure serves multiple frequency bins simultaneously, making the data representation universally applicable across different antenna elements and signal types. This multi-functional approach allows the same compression mechanism to work across various system configurations, reducing data volume without limiting system versatility
Data Source
AI summary
There is provided a method for uplink data compression, the method including transforming a signal from a time-domain presentation into a frequency-domain presentation, selecting a group of adjacent frequency bins from the frequency-domain presentation, generating a floating point number representation from values of the group of adjacent frequency bins, wherein the floating point number representation includes a mantissa for each of the frequency bins' values of the group of adjacent frequency bins, and wherein the floating point number representation further includes a common exponent shared between the mantissas, and outputting the mantissas of the floating point number representation, and the value of the common exponent shared between the mantissas of the floating point number representation.