Efficient Transmit Antenna Subset Selection for Multiuser Space-Time Line Code Systems.

Area of Science:

• Wireless communication systems
• Signal processing
• Antenna theory

Background:

• Maximizing signal-to-interference-plus-noise ratio (SINR) in multiuser space-time line code (MU-STLC) systems requires efficient transmit antenna subset (TAS) selection.
• Exhaustive search for optimal TAS selection becomes computationally prohibitive as the number of antennas increases.

Purpose of the Study:

• To develop efficient TAS selection schemes for MU-STLC systems.
• To reduce the computational complexity associated with TAS selection.
• To improve system performance in terms of SINR and bit error rate (BER).

Main Methods:

• Proposed two novel TAS selection schemes: an incremental approach and a decremental approach.
• Utilized the Woodbury formula to optimize the TAS selection process and reduce complexity.
• Developed a minimum mean square error (MMSE) decremental TAS selection algorithm.

Main Results:

• The proposed incremental and decremental TAS selection algorithms outperform the existing greedy TAS selection algorithm for MU-STLC systems.
• The MMSE decremental TAS selection algorithm achieves better BER performance than the greedy algorithm with significantly lower computational complexity.
• Analysis of the SINR penalty due to TAS selection shows good agreement between analytical predictions and simulation results.

Conclusions:

• The proposed Woodbury formula-based incremental and decremental TAS selection schemes provide efficient and effective solutions for MU-STLC systems.
• These methods offer a significant advantage over existing greedy approaches in terms of performance and computational cost.
• The study provides valuable insights into the trade-offs between TAS selection complexity and system performance.