TY - GEN
T1 - Frobenius Norm-Based IRS Selection Algorithm in Parallel Multi-IRS-assisted Spatial Modulation
AU - Elganimi, Taissir Y.
AU - Rabie, Khaled M.
AU - Elhalawany, Basem M.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) has recently been considered as a prospective candidate for the future 6G wireless systems. This is mainly due to its ability to significantly improve the energy efficiency and network coverage by intelligently adapting the wireless propagation environment. In this paper, a parallel multi-IRS-aided spatial modulation (SM) scheme with Frobenius norm-based IRS selection is proposed to improve the error performance by selecting a subset of IRSs with the largest norm values out of parallel multiple IRSs for the transmission between the source and destination. Extensive computer simulations have been conducted to evaluate the bit error rate (BER) performance of the proposed scheme, and the performance of the parallel multi-IRS-assisted SM and conventional SM schemes is also evaluated for the sake of fair comparison. The results show that the proposed scheme has remarkable advantages, such as power-efficiency, over its counterparts. It is also shown that the BER performance can be further improved as the number of selected IRSs and their elements are increased.
AB - Intelligent reflecting surface (IRS)-assisted multiple input multiple output (MIMO) has recently been considered as a prospective candidate for the future 6G wireless systems. This is mainly due to its ability to significantly improve the energy efficiency and network coverage by intelligently adapting the wireless propagation environment. In this paper, a parallel multi-IRS-aided spatial modulation (SM) scheme with Frobenius norm-based IRS selection is proposed to improve the error performance by selecting a subset of IRSs with the largest norm values out of parallel multiple IRSs for the transmission between the source and destination. Extensive computer simulations have been conducted to evaluate the bit error rate (BER) performance of the proposed scheme, and the performance of the parallel multi-IRS-assisted SM and conventional SM schemes is also evaluated for the sake of fair comparison. The results show that the proposed scheme has remarkable advantages, such as power-efficiency, over its counterparts. It is also shown that the BER performance can be further improved as the number of selected IRSs and their elements are increased.
KW - 6G
KW - IRS selection
KW - Intelligent reflecting surface (IRS)
KW - parallel multi-IRS
KW - spatial modulation (SM)
UR - https://www.scopus.com/pages/publications/85139147802
U2 - 10.1109/ICCWorkshops53468.2022.9882163
DO - 10.1109/ICCWorkshops53468.2022.9882163
M3 - Conference contribution
AN - SCOPUS:85139147802
T3 - 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
SP - 1
EP - 6
BT - 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022
Y2 - 16 May 2022 through 20 May 2022
ER -
