Abstract
Linear detectors such as Minimum Mean Square Error (MMSE), Zero Forcing are applied for large scale MIMO detection because of their low computational cost, but has the least performance. In this paper, improvement in the performance of lattice Reduction aided- linear detectors for large scale MIMO is analyzed. Lattice reduction is performed using Seysen's Algorithm (SA). SA finds the reduced basis with minimum number of iterations compared to the commonly used Lenstra, Lenstra, and Lovász (LLL) algorithm. Also, SA based reduction of channel matrix, outperforms the existing LLL algorithm based reduction for sub optimal linear detectors in terms of bit error rate (BER) and computational complexity. The simplified VLSI architecture of SA is implemented in hardware using 45 nm technology
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
