TY - GEN
T1 - Performance Evaluation of Spatial Scattering Modulation in the Indoor Environment
AU - Zhang, Jiliang
AU - Liu, Wei
AU - Tennant, Alan
AU - Qi, Weijie
AU - Chen, Jiming
AU - Zhang, Jie
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022/11
Y1 - 2022/11
N2 - In this paper, a state-of-the-art massive MIMO modulation system, spatial scattering modulation (SSM), is evaluated considering practical indoor wireless environments for the first time. Firstly, the SSM system is reviewed, which works under the narrowband sparse physical channel model and exploits beamspace domain resources to enhance spectral efficiency via analog beamforming. Secondly, to generate parameters for the narrowband sparse physical channel model in a specific indoor environment, channel prediction is performed based on the intelligent ray launching algorithm (IRLA), which has been verified via practical measurements. Therein, building structures and large objects in the indoor environment are modelled. Thirdly, an approach is proposed for characterizing ergodic average bit error probability (ABEP) to evaluate the SSM system in the indoor environment. Finally, numerical experiments are carried out, which show that channel models widely adopted in existing literature for evaluations of the SSM system are oversimplified.
AB - In this paper, a state-of-the-art massive MIMO modulation system, spatial scattering modulation (SSM), is evaluated considering practical indoor wireless environments for the first time. Firstly, the SSM system is reviewed, which works under the narrowband sparse physical channel model and exploits beamspace domain resources to enhance spectral efficiency via analog beamforming. Secondly, to generate parameters for the narrowband sparse physical channel model in a specific indoor environment, channel prediction is performed based on the intelligent ray launching algorithm (IRLA), which has been verified via practical measurements. Therein, building structures and large objects in the indoor environment are modelled. Thirdly, an approach is proposed for characterizing ergodic average bit error probability (ABEP) to evaluate the SSM system in the indoor environment. Finally, numerical experiments are carried out, which show that channel models widely adopted in existing literature for evaluations of the SSM system are oversimplified.
KW - analog beamforming
KW - bit error probability
KW - indoor radio wave propagation
KW - intelligent ray launching algorithm
KW - massive MIMO
KW - Spatial scattering modulation
UR - http://www.scopus.com/inward/record.url?scp=85142637694&partnerID=8YFLogxK
U2 - 10.1109/ISWCS56560.2022.9940429
DO - 10.1109/ISWCS56560.2022.9940429
M3 - Conference article published in proceeding or book
AN - SCOPUS:85142637694
T3 - Proceedings of the International Symposium on Wireless Communication Systems
BT - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
PB - VDE Verlag GmbH
T2 - 2022 International Symposium on Wireless Communication Systems, ISWCS 2022
Y2 - 19 October 2022 through 22 October 2022
ER -