TY - GEN
T1 - Complexity reduced MIMO detection with three iterative loops
AU - Ahmed, Saleem
AU - Iqbal, Fahad
AU - Zhang, Meixiang
AU - Kim, Sooyoung
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/12
Y1 - 2017/12/12
N2 - The full potential of multiple-input multiple-output (MIMO) wireless technology can be achieved through iterative MIMO decoding with soft information. In iterative MIMO decoder, the complexity can be major obstacle for practical implementation. The soft interference cancellation-minimum mean squared error (SIC-MMSE) approach for detection is considered as a feasible approach due to its complexity-performance tradeoff. In this paper, we show the performance of a SIC-MMSE detection scheme for MIMO system, where three iterative loops are utilized. We employ a single matrix inversion method to reduce complexity, while the third loop inside MIMO detector is employed to improve the reliability of the symbol estimation to enhance the performance. Simulation results demonstrates that the proposed method produces comparable error-rate performance as the conventional schemes with much less complexity.1
AB - The full potential of multiple-input multiple-output (MIMO) wireless technology can be achieved through iterative MIMO decoding with soft information. In iterative MIMO decoder, the complexity can be major obstacle for practical implementation. The soft interference cancellation-minimum mean squared error (SIC-MMSE) approach for detection is considered as a feasible approach due to its complexity-performance tradeoff. In this paper, we show the performance of a SIC-MMSE detection scheme for MIMO system, where three iterative loops are utilized. We employ a single matrix inversion method to reduce complexity, while the third loop inside MIMO detector is employed to improve the reliability of the symbol estimation to enhance the performance. Simulation results demonstrates that the proposed method produces comparable error-rate performance as the conventional schemes with much less complexity.1
UR - https://www.scopus.com/pages/publications/85046895782
U2 - 10.1109/ICTC.2017.8190971
DO - 10.1109/ICTC.2017.8190971
M3 - Conference paper
AN - SCOPUS:85046895782
T3 - International Conference on Information and Communication Technology Convergence: ICT Convergence Technologies Leading the Fourth Industrial Revolution, ICTC 2017
SP - 213
EP - 216
BT - International Conference on Information and Communication Technology Convergence
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information and Communication Technology Convergence, ICTC 2017
Y2 - 18 October 2017 through 20 October 2017
ER -