TY - GEN
T1 - Combined vector perturbation for adaptive modulation in MU-MIMO
AU - Askri, Aymen
AU - Othman, Ghaya Rekaya Ben
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/5
Y1 - 2020/10/5
N2 - We propose in this paper a combined vector perturbation (Comb-VP) precoding for multi-user multiple-input multiple-output (MU-MIMO) downlink systems. It takes into account different modulation coding schemes (MCSs) and enables an adaptive modulation scenario where users apply different modulation types. The search of the perturbation vector is combined for all users as in the conventional VP (Conv-VP), but different modulations are used simultaneously for different users. The performance of the combined VP Is optimal compared to existing solutions. In this setting, we also propose the combined minimum mean square error (MMSE) VP which achieves better performance in terms of error rate by minimizing the MSE criterion. In addition, we suggest an user ordering according to their modulation size. Indeed, by starting with the highest modulation order in the search tree of the sphere encoder (SE) algorithm, this has the advantage of reducing the complexity by minimizing the size of the search tree in the average sense.
AB - We propose in this paper a combined vector perturbation (Comb-VP) precoding for multi-user multiple-input multiple-output (MU-MIMO) downlink systems. It takes into account different modulation coding schemes (MCSs) and enables an adaptive modulation scenario where users apply different modulation types. The search of the perturbation vector is combined for all users as in the conventional VP (Conv-VP), but different modulations are used simultaneously for different users. The performance of the combined VP Is optimal compared to existing solutions. In this setting, we also propose the combined minimum mean square error (MMSE) VP which achieves better performance in terms of error rate by minimizing the MSE criterion. In addition, we suggest an user ordering according to their modulation size. Indeed, by starting with the highest modulation order in the search tree of the sphere encoder (SE) algorithm, this has the advantage of reducing the complexity by minimizing the size of the search tree in the average sense.
KW - MIMO broadcast channels
KW - Minimum mean square error
KW - Precoding
KW - Rector perturbation
KW - Sphere encoder
U2 - 10.1109/ICT49546.2020.09239494
DO - 10.1109/ICT49546.2020.09239494
M3 - Conference contribution
AN - SCOPUS:85099591239
T3 - Proceedings of the 2020 27th International Conference on Telecommunications, ICT 2020
BT - Proceedings of the 2020 27th International Conference on Telecommunications, ICT 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th International Conference on Telecommunications, ICT 2020
Y2 - 5 October 2020 through 7 October 2020
ER -