TY - GEN
T1 - A near-ML performance hybrid dijkstra and firefly algorithm for large MIMO detection
AU - Datta, Arijit
AU - Bhatia, Vimal
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/13
Y1 - 2017/12/13
N2 - To meet the ever growing demand of high data rates, employing large number of antennas at the transmitter and receiver is a key feature of future advanced wireless systems. Multiple-input multiple-output (MIMO) systems can provide high data rates with high spectral efficiency and have opened a new gateway in wireless systems. However, design of an efficient, robust and non-erroneous detection algorithm is a huge challenge in MIMO systems. In this paper, a hybrid algorithm has been proposed for large scale MIMO detection. The proposed algorithm is motivated by the popular firefly algorithm and dijkstra's shortest path algorithm. Simulation results reveal that the proposed hybrid algorithm outperforms the conventional zero forcing, minimum mean square error and successive interference cancellation based MIMO detection techniques in terms of bit error rate (BER) performance and achieves near maximum likelihood BER performance. This makes the proposed algorithm an appropriate candidate for reliable detection in large-MIMO systems.
AB - To meet the ever growing demand of high data rates, employing large number of antennas at the transmitter and receiver is a key feature of future advanced wireless systems. Multiple-input multiple-output (MIMO) systems can provide high data rates with high spectral efficiency and have opened a new gateway in wireless systems. However, design of an efficient, robust and non-erroneous detection algorithm is a huge challenge in MIMO systems. In this paper, a hybrid algorithm has been proposed for large scale MIMO detection. The proposed algorithm is motivated by the popular firefly algorithm and dijkstra's shortest path algorithm. Simulation results reveal that the proposed hybrid algorithm outperforms the conventional zero forcing, minimum mean square error and successive interference cancellation based MIMO detection techniques in terms of bit error rate (BER) performance and achieves near maximum likelihood BER performance. This makes the proposed algorithm an appropriate candidate for reliable detection in large-MIMO systems.
UR - https://www.scopus.com/pages/publications/85041385087
UR - https://www.scopus.com/pages/publications/85041385087#tab=citedBy
U2 - 10.1109/ICCCNT.2017.8204114
DO - 10.1109/ICCCNT.2017.8204114
M3 - Conference contribution
AN - SCOPUS:85041385087
T3 - 8th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2017
BT - 8th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Computing, Communications and Networking Technologies, ICCCNT 2017
Y2 - 3 July 2017 through 5 July 2017
ER -