Issue No. 05 - May (2017 vol. 25)
ISSN: 1063-8210
pp: 1714-1724
Cang Liu , National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China
Chuan Tang , National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China
Zuocheng Xing , National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China
Luechao Yuan , National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China
Yang Zhang , National Laboratory for Parallel and Distributed Processing, National University of Defense Technology, Changsha, China
ABSTRACT
QR decomposition (QRD) has been a vital component in the transceiver processor of future multiple-input multiple-output (MIMO) systems, in which antenna configuration will be more and more flexible. Therefore, the QRD hardware architecture in the future MIMO systems should be more flexible to meet various antenna configurations. Unfortunately, the existing QRD hardware architectures mainly focus on the matrix of one or several fixed sizes. This paper presents a new triangular systolic array QRD hardware architecture based on parallel tiled QRD algorithm to decompose an ${8}\times {8}$ real matrix. The designed hardware architecture is flexible and can be used in various MIMO systems, in which the number of antennas is smaller than 4. This paper also proposes a modified algorithm for the bottleneck operations of parallel tiled QRD algorithm to reduce the hardware overhead. To further reduce the hardware overhead, the Newton–Raphson algorithm is adopted in the proposed algorithm. The implementation results show that the normalized processing latency performance and the normalized processing efficiency performance of the designed QRD hardware architecture both are better than most of the existing QRD hardware architectures. To the best of our knowledge, the hardware architecture presented in this paper achieves the superior normalized QRD rate performance to the existing QRD hardware architectures.
INDEX TERMS
Hardware, Algorithm design and analysis, Matrix decomposition, MIMO, Computer architecture, Wireless communication, Antennas
CITATION

C. Liu, C. Tang, Z. Xing, L. Yuan and Y. Zhang, "Hardware Architecture Based on Parallel Tiled QRD Algorithm for Future MIMO Systems," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 5, pp. 1714-1724, 2017.
doi:10.1109/TVLSI.2016.2645841