Novel Receive Antenna Selection Scheme for Precoding-Aided Spatial Modulation with Lattice Reduction.

Area of Science:

• Wireless Communications
• Signal Processing
• Information Theory

Background:

• Precoding-aided spatial modulation (PSM) is a technique to improve wireless communication system performance.
• Conventional zero-forcing (ZF) precoders in PSM systems can limit diversity gain.
• Receive antenna subset (RAS) selection is crucial for optimizing PSM system performance.

Purpose of the Study:

• To propose a novel receive antenna subset (RAS) selection scheme for precoding-aided spatial modulation (PSM).
• To introduce a lattice reduction (LR)-based precoder to enhance PSM systems.
• To analyze the diversity performance of the proposed LR-based PSM system.

Main Methods:

• Utilized a lattice reduction (LR)-based precoder instead of a conventional zero-forcing (ZF) precoder.
• Derived an optimal LR-based RAS selection criterion for over-determined LR-based PSM systems.
• Presented a suboptimal RAS selection algorithm for practical implementation.

Main Results:

• Achieved full diversity gain with the LR-based ZF precoder, even without RAS selection.
• Demonstrated improved bit error rate (BER) performance using both optimal and suboptimal LR-based RAS selection algorithms.
• Showcased that the LR-ZF-based PSM system with optimal LR-based RAS selection outperforms conventional ZF-based PSM systems.

Conclusions:

• The proposed LR-based precoder and RAS selection scheme significantly enhances PSM system performance.
• The LR-based approach offers superior BER performance and diversity gain compared to conventional methods.
• The study provides a robust framework for optimizing future wireless communication systems.