TY - GEN
T1 - A robust MIMO detection algorithm using gravitationally co-ordinated swarm
AU - Datta, Arijit
AU - Bhatia, Vimal
N1 - Funding Information:
The authors would like to acknowledge Visvesvaraya PhD Scheme of Ministry of Electronics and Information Technology (MeitY), and Indian Institute of Technology Indore for their valuable support in this research work.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/4/17
Y1 - 2018/4/17
N2 - One of the techniques to fulfill the ever growing demand of high data rates and high spectral efficiency for future wireless networks is to use multiple input multiple output (MIMO) wireless communication systems by employing multiple number of transmitting and receiving antennas. However, conventional MIMO detection techniques like zero forcing (ZF), minimim mean square error (MMSE), minimum mean square error succesive interference cancellation (MMSE-SIC), minimum mean square error ordered succesive interference cancellation (MMSE-OSIC) provide sub-optimal detection and their bit error rate (BER) performance degrades under imperfect channel state information (CSI) at the receiver. Hence, new algorithms and techniques are being developed for robust and non-erroneous detection in MIMO communication systems. In this paper, a robust detection algorithm called modified gravitational search algorithm (MGSA) is proposed for MIMO detection. The proposed MGSA detection algorithm exploits the concept of gravitational search algorithm for MIMO detection. The proposed MGSA technique outperforms conventional detection techniques like ZF, MMSE and MMSE-OSIC under both perfect and imperfect CSI at the receiver. Simulation results validate the performance and robustness of the proposed detection algorithm.
AB - One of the techniques to fulfill the ever growing demand of high data rates and high spectral efficiency for future wireless networks is to use multiple input multiple output (MIMO) wireless communication systems by employing multiple number of transmitting and receiving antennas. However, conventional MIMO detection techniques like zero forcing (ZF), minimim mean square error (MMSE), minimum mean square error succesive interference cancellation (MMSE-SIC), minimum mean square error ordered succesive interference cancellation (MMSE-OSIC) provide sub-optimal detection and their bit error rate (BER) performance degrades under imperfect channel state information (CSI) at the receiver. Hence, new algorithms and techniques are being developed for robust and non-erroneous detection in MIMO communication systems. In this paper, a robust detection algorithm called modified gravitational search algorithm (MGSA) is proposed for MIMO detection. The proposed MGSA detection algorithm exploits the concept of gravitational search algorithm for MIMO detection. The proposed MGSA technique outperforms conventional detection techniques like ZF, MMSE and MMSE-OSIC under both perfect and imperfect CSI at the receiver. Simulation results validate the performance and robustness of the proposed detection algorithm.
UR - https://www.scopus.com/pages/publications/85050910369
UR - https://www.scopus.com/pages/publications/85050910369#tab=citedBy
U2 - 10.1109/INFOCOMTECH.2017.8340612
DO - 10.1109/INFOCOMTECH.2017.8340612
M3 - Conference contribution
AN - SCOPUS:85050910369
T3 - 2017 Conference on Information and Communication Technology, CICT 2017
SP - 1
EP - 6
BT - 2017 Conference on Information and Communication Technology, CICT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2017
Y2 - 21 February 2017 through 23 February 2017
ER -