SLC-Based Integer Forcing Receiver for 2M-QAM Decoding
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Solution Overview
Problem
In 5G communication systems, the use of 2M-QAM modulation schemes poses challenges for integer forcing receivers due to the difficulty in directly applying modulation schemes with prime orders, leading to inefficiencies in decoding and increased noise levels.
Innovation Solution
Implementing a single level coding (SLC)-based integer forcing (IF) scheme that determines codewords and applies natural labeling to coded bits, using a posteriori probability (APP) and log likelihood ratio (LLR) calculations to improve decoding efficiency and reduce noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If MLC-based 2M-QAM symbol is used, then the modulation scheme can be applied to actual systems, but the code length decreases as modulation order increases
Solution Approach 1:
The patent segments the modulation process into multiple levels (first level and second level coding) where each level handles different aspects of the modulation. This segmentation allows the system to maintain adequate code lengths at each level while achieving high-order modulation, resolving the contradiction between adaptability and code length.
2Reliability
If integer forcing receiver is used, then maximum diversity can be attained, but decoding becomes difficult with 2M-QAM modulation
Solution Approach 1:
The patent divides the decoding process into two separate levels: first level decoding handles the primary codeword extraction while second level decoding refines the solution. This segmentation makes the integer forcing decoding process more manageable and less difficult while maintaining maximum diversity benefits.
Solution Approach 2:
The patent performs preliminary signal processing and equalization before the actual decoding step. By preparing the received signal in advance through integer forcing equalization and calculating preliminary metrics, the subsequent decoding operation becomes easier and more efficient.
3Adaptability or versatility
If multiple level coding is implemented, then prime order modulation can be used, but implementation complexity increases with encoder and decoder for each bit-level
Solution Approach 1:
The patent merges the encoding and decoding operations into a unified framework where the same processing structure is used at both transmitter and receiver. This consolidation reduces implementation complexity while maintaining the flexibility of prime order modulation schemes.
Data Source
AI summary
The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system for supporting higher data rates Beyond 4th-Generation (4G) communication systems such as Long Term Evolution (LTE). A method for operating a receiver in a wireless communication system may include: receiving a signal from a transmitter; performing Integer Forcing (IF) equalization on the received signal; determining a log LikeLihood Ratio (LLR) value of each bit by using a posteriori probability of each bit for the signal determined based on an equalization matrix and a likelihood value for the signal; and decoding the signal by using the LLR value.


