Qingsong Wen

Title: Innovations of Qingsong Wen in MIMO Detection Systems

Introduction

Qingsong Wen is a notable inventor based in Atlanta, GA (US). He has made significant contributions to the field of detection systems, particularly through his innovative work on Multi-input Multi-output (MIMO) detection systems. His research focuses on improving the efficiency and complexity of algorithms used in this technology.

Latest Patents

Qingsong Wen holds 1 patent for his invention related to MIMO detection systems. The patent describes embodiments that provide efficient greedy LLL algorithms, which not only converge faster but also exhibit much lower complexity than existing greedy LLL variants while maintaining similar error performance. A relaxed Lovász condition is designed for searching the candidate set of LLL iterations with column swap operations. This relaxation eliminates the need for size reduction operations, thereby saving complexity compared to existing greedy LLL algorithms. Additionally, a relaxed criterion for the decrease in LLL potential is established to select the optimal candidate in the set of LLL iterations, further demonstrating lower complexity than existing algorithms. Simulations indicate that Wen's inventive algorithm requires fewer LLL iterations compared to its predecessors.

Career Highlights

Qingsong Wen is affiliated with the Georgia Tech Research Corporation, where he continues to advance his research in detection systems. His work has garnered attention for its innovative approach and practical applications in technology.

Collaborations

Qingsong Wen collaborates with Xiaoli Ma, contributing to the advancement of their shared research interests.

Conclusion

Qingsong Wen's contributions to MIMO detection systems exemplify the impact of innovative thinking in technology. His work not only enhances algorithm efficiency but also sets a new standard for complexity in detection systems.