Wireless Signal Modulation by Bit Importance for 5G Coverage
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Solution Overview
Problem
Existing 5G communication systems face limitations in extending coverage and optimizing transmission efficiency due to uniform modulation schemes, particularly in millimeter wave bands, which affect the performance of IoT applications with varying levels of importance.
Innovation Solution
A method and device that utilize different modulation schemes based on the importance levels of channel-coded symbols, applying lower modulation to more important symbols and higher modulation to less important symbols, reducing power variation range and enabling efficient channel estimation without FFT operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform modulation schemes are used in 5G communication systems, then system simplicity is maintained, but coverage extension and transmission efficiency are limited
Solution Approach 1:
The encoded bit sequence is divided into multiple bit groups based on importance levels, where different modulation schemes are applied to different groups. This segmentation allows critical data to use robust modulation while less critical data uses efficient modulation, extending coverage without sacrificing overall system capacity.
Solution Approach 2:
Different modulation schemes are applied locally to different bit groups based on their importance levels. High-importance bits receive lower-order modulation (e.g., BPSK) for better reliability, while low-importance bits receive higher-order modulation (e.g., QAM) for higher throughput, optimizing both coverage and efficiency in different parts of the signal.
2Productivity
If higher modulation orders are used to increase data rate, then transmission capacity improves, but power variation range increases reducing transmission efficiency
Solution Approach 1:
The modulation order is dynamically adjusted for different bit groups based on their importance levels rather than using a fixed uniform modulation scheme. This dynamic adaptation allows the system to optimize the balance between data rate and power efficiency, achieving high throughput for non-critical data while maintaining low power variation for critical data.
3Reliability
If uniform modulation is applied to all encoded bits, then implementation simplicity is maintained, but recovery performance on data channels with varying importance levels is suboptimal
Solution Approach 1:
Bit groups are pre-classified into different importance levels before modulation based on their position in the encoded sequence or channel conditions. This preliminary classification ensures that critical data receives appropriate protection from the outset, improving recovery performance without requiring complex real-time adjustments during transmission.
Data Source
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AI summary
According to an embodiment of the present disclosure, a method performed by a terminal may include: obtaining, from encoded bits, a first bit group and a second bit group; arranging the encoded bits such that bits of the first bit group and bits of the second bit group are interleaved; modulating the arranged bits in the first bit group and the second bit group by using different modulation rates; and transmitting, to a base station, a signal obtained based on the modulated bits.